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  1. #5151
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    8051 Microcontroller - An Assembly Language Programming



    8051 Microcontroller - An Assembly Language Programming
    Published 6/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 46.45 GB | Duration: 35h 30m

    Assembly Language Programming for 8051 Microcontroller



    What you'll learn
    Architecture of 8051 Microcontroller
    Instruction set of 8051 Microcontroller
    Assembly language programming of 8051 Microcontroller
    Demonstration of MCU8051 software for programming and interfacing
    Requirements
    No programming experience needed. You will learn everything in this course

    Description
    This 8051 Microcontroller Lecture Series explains the in-depth architecture, pin description, instructions, assembly language program, and interfacing of various peripherals with the microcontroller. In the lecture series, the in-depth MCU8051 software is also explained. The MCU8051 software is used for writing, debugging, and interfacing various in-built peripherals. Learners can see many demonstrations of the program and the interfacing of devices. There are a few demonstrations of using Proteus software.After completion of this course learners will be able to:Differentiate between 8051, 8052, and 8031 microcontrollersUnderstand the RAM Architecture of 8051Explain the significance of each bit of Program Status Word (PSW)Understand the signed and un-signed operationsIdentify the pin details of the 8051 microcontrollerDifferentiate different addressing modesUnderstand different instructionsUnderstand timer/counter operations of 8051 microcontrollerDemonstrate the assembly language programs using timers and countersIllustrate the interrupts and their applicationsUnderstand the serial communication method using an 8051 microcontrollerWorking of Analog to Digital ConverterWorking of Digital to Analog ConverterWorking of stepper motorInterfacing and programming of LED with 8051 microcontrollerInterfacing and programming of LCD with 8051 microcontrollerInterfacing and programming of keypad with 8051 microcontrollerUnderstand Integrated Development Environment (IDE) used for developing softwareDemonstrate the MCU8051 software for the development of softwareUnderstand how to select the banks of 8051 microcontrollerUnderstand the concept of stack

    Overview

    Section 1: Introduction

    Lecture 1 Introduction to Processors

    Lecture 2 Basic Understanding of Processor Based System

    Lecture 3 Basics of Memory Interfacing with processor-I

    Lecture 4 Basics of Memory Interfacing with processor-II

    Lecture 5 Basics of Memory Interfacing with processor-III

    Lecture 6 General Operation of Processor-I

    Lecture 7 General Operation of Processor-II

    Lecture 8 Evolution of Microprocessors

    Section 2: 8051 Microcontroller Architecture

    Lecture 9 8051 Families of Microcontroller

    Lecture 10 MCU8051 Integrated Development Environment

    Lecture 11 Demonstration of MCU8051 IDE

    Lecture 12 RAM Architecture of 8051-I

    Lecture 13 RAM Architecture of 8051-II

    Lecture 14 RAM Architecture of 8051-III

    Lecture 15 Program Status Word (PSW)

    Lecture 16 Bank Selection

    Lecture 17 Signed and Unsigned Number Representation

    Lecture 18 Effect on Carry and Overflow Flag

    Lecture 19 Examples on Signed and Unsigned Operation

    Lecture 20 Stack

    Section 3: Addressing Modes, Instructions and Programming

    Lecture 21 Addressing Modes

    Lecture 22 Long Jump Instruction

    Lecture 23 Short Jump Instruction

    Lecture 24 Conditional Short Jump

    Lecture 25 Example of Data Transfer Program in Internal RAM-I

    Lecture 26 Example of Data Transfer Program in Internal RAM-II

    Lecture 27 Indexed Addressing Mode

    Lecture 28 Data Transfer From Code Memory -Programming Example

    Lecture 29 Add instruction & Example of addition (Part I)

    Lecture 30 Add Instruction & Example of addition (Part II)

    Section 4: Pin Description

    Lecture 31 Machine Cycle & Reset Pin

    Lecture 32 Pin Diagram (Part I)

    Lecture 33 Pin Diagram (Part II)

    Lecture 34 Pin Diagram (Part III)

    Section 5: Software Delay, Interfacing of LED and 7-Segment Display

    Lecture 35 Blinking LED & Software Delay Generation

    Lecture 36 Blinking LED (Using Subroutine)

    Lecture 37 Program for Seven Segment Display

    Section 6: Timers and Counters

    Lecture 38 Timer-Counter (Part I)

    Lecture 39 Timer-Counter (Part II)

    Lecture 40 Timer-Counter (Part III)

    Lecture 41 Timer-Counter (Part IV)

    Lecture 42 Timer Example (Traffic Light Logic)

    Lecture 43 Timer Example (Square Wave Generation)

    Lecture 44 Timer (Mode 2 Operation)

    Lecture 45 Timer as Counter

    Section 7: Interfacing of Keys with 8051 Microcontroller

    Lecture 46 Interfacing of Key (Example-1)

    Lecture 47 Interfacing of Key (Example-2)

    Lecture 48 Interfacing Key Matrix

    Section 8: Interrupts

    Lecture 49 Interrupt (Part I)

    Lecture 50 Interrupt (Part II)

    Lecture 51 Interrupt (Part III)

    Lecture 52 Hardware Interrupt (Part I)

    Lecture 53 Hardware Interrupt (Part II)

    Section 9: Serial Communication

    Lecture 54 Serial Communication (Part I)

    Lecture 55 Serial Communication - RS232 (Part II)

    Lecture 56 Serial Communication - SCON Register (Part III)

    Lecture 57 Serial Communication - Serial Transmission Program (Part IV)

    Lecture 58 Serial Communication - Serial Receiving Program (Part V)

    Lecture 59 Serial Communication - Programming Example (Part VI)

    Section 10: Stepper Motor Interfacing

    Lecture 60 Stepper Motor Basics (Part I)

    Lecture 61 Stepper Motor Basics (Part II)

    Lecture 62 Stepper Motor Basics (Part III)

    Lecture 63 Demonstration of Stepper Motor and 8051 Interfacing using Proteus

    Section 11: Analog to Digital and Digital to Analog Converters

    Lecture 64 Analog to Digital Converter (Part I)

    Lecture 65 Analog to Digital Converter (Part II)

    Lecture 66 Analog to Digital Converter - Interfacing Example (Part III)

    Lecture 67 Digital to Analog Converter (Part I)

    Lecture 68 Digital to Analog Converter - Examples (Part II)

    Section 12: Logical Instructions

    Lecture 69 Logical Instructions (Part I)

    Lecture 70 Logical Instructions (Part II)

    Section 13: LCD Interfacing

    Lecture 71 LCD Interfacing

    Lecture 72 LCD Interface with MCU8051 IDE

    Section 14: Summary

    Lecture 73 Microcontroller 8051 Lectures Summary-I

    Lecture 74 Microcontroller 8051 Lectures Summary-II

    Undergraduate Engineering students of Electronics, Electrical and Computer science students,Diploma students of Electronics, Electrical and Computer science

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  2. #5152
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    The Full Stack Data Scientist Bootcamp?




    The Full Stack Data Scientist Bootcamp?
    Last updated 7/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 67.69 GB | Duration: 123h 1m

    Full Stats, Python, SQL| Machine Learning & Cloud| Deep Learning| A.I | Computer Vision & NLP | Virtual Internship



    What you'll learn
    Full Python For Data Science Course
    Full Statistics For Data Science Course
    Full Machine Learning Course
    Full Cloud Deployment Course
    Natural Language Processing(NLP)
    Full Deep Learning Course
    Computer Vision(CV)
    Guide to Hackathons and Virtual Internship Projects
    Learn Model Deployment on Amazon Web Service(AWS), Google Cloud(GCP), Microsoft Azure, Heroku, Flask API, Streamlit
    Hands-On Exercises, Projects, Assignements
    Microsoft Power BI
    Requirements
    This is a Beginner to Advanced course and you do not need to have a prior knowledge or any prerequisites.
    The Instructor takes you right from the scratch till mastery.
    Your laptop and internet connection is required
    Your dedication to start and complete the course is highly recommended

    Description
    By far the most comprehensive, up-to-date, and credible Data Science course. The Full-Stack Data Scientist BootCamp? is the ONLY course on Udemy that covers A to Z of lessons that will make you a Data Scientist.Created by Dr. Bright, a Ph.D. in Data Science holder, former Microsoft Senior Data Scientist, and a Visiting Faculty at Worcester Institute, this course covers everything that you need to know to become a Full Stack Data Scientist.The instructors and advisors of the course spent over 13 months creating and vetting the course to make sure it meets the industry and academic standards.With 100 hours of quality course curriculum, this course is the same as we use for our 18 months MS in Data Science program on campus and even more exciting are the Projects in the course to make you more efficient and confident in building Data Science and Artificial Intelligence (AI) products. The motivation is to bring Quality Data Science education to every serious learner at affordable cost. Everyone who cannot to spend $30,000 plus on attaining a data science degree at a top tier institute or anyone who cannot spend considerable amount of time on campus away from their busy schedule.This course is meant for students and working professionals who wish to become Data scientists, Machine Learning Engineers, and AI professionals.Included in this course are:Full SQL Course from A-ZFull Python Course from A-ZFull Statistics for Data Science course from A-ZFull Machine Learning course from A-ZFull ML Model Cloud Deployment course A-ZFull Deep Learning course from A-ZFull Artificial Intelligence course from A-ZFull Computer Vision course from A-ZFull Natural Language Processing course from A-ZFull Microsoft Power BI course from A-ZReading Scientific Research PaperGithub for Data ScienceRecommendation SystemA guide to do Virtual InternshipThe instructors and research assistants who created this course have done thorough research in developing this course and making sure to break the concepts down for your understanding taking into consideration people with different backgrounds and experience levels to enroll in this course.We understand the diversity of the audience that will enroll in this course, some with experience in the field and some completely new to the field, we understand that and we kept that in mind while creating the course. So don't worry, you are covered.The very instructors who created the course are going to be your MENTORS throughout the course so you will have someone to come to your aid whenever you get stuck or need help or any form of guidance.If you are interested in becoming a Full Stack Data Scientist, then this course is the right spot for you, and the ALL-in-ONE course to get you there.

    Overview

    Section 1: CURRICULUM

    Lecture 1 Course Curriculum

    Lecture 2 Download Course Curriculum

    Section 2: Data Science Overview

    Lecture 3 Lecture resources

    Lecture 4 The Big Picture

    Lecture 5 Part 1: Data Science Overview

    Lecture 6 What Is Data Science?

    Lecture 7 DA vs DS vs AI vs ML

    Lecture 8 Industries That Use and Hire Data Scientist

    Lecture 9 Applications of Data Science

    Lecture 10 Data Science Lifecycle and the Maturity Framework

    Lecture 11 Who is a Data Scientist?

    Lecture 12 Career Opportunities In Data Science

    Lecture 13 Typical Backgrounds of Data Scientists

    Lecture 14 The Ultimate Path To become a Data Scientist(Skills you need to develop)

    Lecture 15 Typical Salary of a Data Scientist

    Section 3: FULL SQL FOR DATA SCIENCE COURSE

    Lecture 16 Lecture resources

    Lecture 17 Overview

    Section 4: SQL : BEGINNER LEVEL

    Lecture 18 Introduction To SQL for Data Science

    Lecture 19 Types of Databases

    Lecture 20 What is a Query?

    Lecture 21 What is SQL?

    Lecture 22 SQL or SEQUEL?

    Lecture 23 SQL Installation

    Lecture 24 SQL Installation Guide For MacOS

    Lecture 25 SQL Installation Guide For Windows

    Lecture 26 Extra Help in Installing SQL

    Lecture 27 Overview of SQL workbench

    Section 5: SQL Commands

    Lecture 28 Introduction To SQL Commands

    Lecture 29 SQL CRUD Commands

    Section 6: Understanding and Creating SQL Databases

    Lecture 30 SQL Schema

    Lecture 31 Inserting Comments in SQL

    Lecture 32 Creating Databases

    Section 7: Understanding and Creating SQL Tables

    Lecture 33 Overview of SQL Table

    Section 8: Types Of SQL KEYS

    Lecture 34 Primary Key

    Lecture 35 Foreign Key

    Lecture 36 Composite Key

    Lecture 37 Super Key

    Lecture 38 Alternate Key

    Section 9: Data Types In SQL

    Lecture 39 SQL Data Types

    Section 10: CREATE Table and INSERT Data into Table

    Lecture 40 CREATE Table

    Lecture 41 INSERT Data

    Section 11: SQL Constraints

    Lecture 42 Understanding SQL Constraints

    Lecture 43 NOT NULL & UNIQUE Constraints

    Lecture 44 DEFAULT Constraints

    Lecture 45 PRIMAY KEY Constraint

    Lecture 46 Alter SQL Constraint

    Lecture 47 Adding and Dropping SQL Constraint

    Lecture 48 Foreign Key Constraint

    Section 12: SQL : INTERMEDIATE LEVEL

    Lecture 49 Creating Exiting Databases

    Lecture 50 Overview Of Existing Databases

    Lecture 51 The SELECT Statement in Details

    Lecture 52 The ORDER BY Clause

    Lecture 53 The WHERE Clause

    Lecture 54 Operation with SELECT statement

    Lecture 55 Aliasing in SQL

    Lecture 56 Exercise 1 and solution

    Lecture 57 The DISTINCT Keyword

    Lecture 58 WHERE Clause with SQL Comparison operators

    Lecture 59 Exercise 2 and Solution

    Lecture 60 The AND, OR and NOT Operators

    Lecture 61 Exercise 3 and Solution

    Lecture 62 The IN Operator

    Lecture 63 Exercise 4 and Solution

    Lecture 64 The BETWEEN Operator

    Lecture 65 Exercise 5 and Solution

    Lecture 66 The LIKE Operator

    Lecture 67 Exercise 6 and Solution

    Lecture 68 The REGEXP Operator

    Lecture 69 Exercise 7 and Solution

    Lecture 70 IS NULL & IS NOT NULL Operator

    Lecture 71 Exercise 8 and Solution

    Lecture 72 The ORDER BY Clause in Details

    Lecture 73 The LIMIT Clause

    Lecture 74 Exercise 9 and Solution

    Section 13: SQL JOINS

    Lecture 75 Introduction To SQL JOINS

    Lecture 76 Exercise 10 and Solution

    Lecture 77 Joining Across Multiple Databases

    Lecture 78 Exercise 11 and Solution

    Lecture 79 Joining Table to Itself

    Lecture 80 Joining Across Multiple SQL Tables

    Lecture 81 LEFT and RIGHT JOIN

    Lecture 82 Exercise 12 and Solution

    Lecture 83 Exercise 13 and Solution

    Section 14: Working With Existing SQL Table

    Lecture 84 INSERTING Into Existing Table

    Lecture 85 INSERTING Multiple Data Into Existing Table

    Lecture 86 Creating A Copy of a Table

    Lecture 87 Updating Existing Table

    Lecture 88 Updating Multiple Records In Existing Table

    Section 15: SQL VIEW

    Lecture 89 Create SQL VIEW

    Lecture 90 Using SQL VIEW

    Lecture 91 Alter SQL VIEW

    Lecture 92 Drop SQL View

    Section 16: SQL Data Summarisation: Aggregation Functions

    Lecture 93 COUNT () Function

    Lecture 94 SUM() Function

    Lecture 95 AVG() Function

    Lecture 96 SQL Combined Functions

    Section 17: Advance SQL Functions

    Lecture 97 Count Function in Details

    Lecture 98 The HAVING() Function

    Lecture 99 LENGTH() Function

    Lecture 100 CONCAT() Function

    Lecture 101 INSERT() Function

    Lecture 102 LOCATE() Function

    Lecture 103 UCASE() & LCASE() Function

    Section 18: SQL : ADVANCED LEVEL

    Lecture 104 Overview

    Section 19: SQL Stored Procedure

    Lecture 105 Create a Stored Procedure

    Lecture 106 Stored Procedure with Single Parameter

    Lecture 107 Stored Procedure with Multiple Parameter

    Lecture 108 Alter Stored Procedure

    Lecture 109 Drop Stored Procedure

    Section 20: Triggers

    Lecture 110 Introduction to Triggers

    Lecture 111 BEFORE Insert Triggers

    Lecture 112 AFTER Insert Trigger

    Lecture 113 DROP Triggers

    Section 21: Transactions

    Lecture 114 Creating Transactions

    Lecture 115 Rollback Transactions

    Lecture 116 Savepoint Transactions

    Section 22: FULL PYTHON FOR DATA SCIENCE COURSE

    Lecture 117 Overview

    Section 23: BEGINNER : Python For Data Science

    Lecture 118 Install and Write Your First Python Code

    Lecture 119 Python Course Datasets

    Section 24: Introduction To Jupyter Notebook

    Lecture 120 Introduction to Jupyter Notebook And Jupyter Lab

    Lecture 121 Working with Code Vs Markdown

    Section 25: Introduction To Google Colab

    Lecture 122 Google Colab

    Section 26: Getting Hands-On With Python

    Lecture 123 Introduction

    Lecture 124 Keywords And Identifiers

    Lecture 125 Python Comments

    Lecture 126 Python Docstring

    Lecture 127 Python Variables

    Lecture 128 Rules and Naming Conventions for Python Variables

    Section 27: Python Output() | Input() | Import() Functions

    Lecture 129 Python Output() Function

    Lecture 130 Input() Function In Python

    Lecture 131 Import() Function In Python

    Section 28: Python Operators

    Lecture 132 Arithmetic Operators

    Lecture 133 Comparison Operators

    Lecture 134 Logical Operators

    Lecture 135 Bitwise Operators

    Lecture 136 Assignment Operators

    Lecture 137 Special Operators

    Lecture 138 Membership Operators

    Section 29: Python Flow Control

    Lecture 139 If Statement

    Lecture 140 If...Else Statement

    Lecture 141 ELif Statement

    Lecture 142 For loop

    Lecture 143 While loop

    Lecture 144 Break Statement

    Lecture 145 Continue Statement

    Section 30: INTERMEDIATE : Python Functions

    Lecture 146 User Define Functions

    Lecture 147 Arbitrary Arguments

    Lecture 148 Function With Loops

    Lecture 149 Lambda Function

    Lecture 150 Built-In Function

    Section 31: Python Global and Local Variables

    Lecture 151 Global Variable

    Lecture 152 Local Variable

    Section 32: Working With Files In Python

    Lecture 153 Python Files

    Lecture 154 The Close Method

    Lecture 155 The With Statement

    Lecture 156 Writing To A File In Python

    Section 33: Python Modules

    Lecture 157 Python Modules

    Lecture 158 Renaming Modules

    Lecture 159 The from...import Statement

    Section 34: Python Packages and Libraries

    Lecture 160 Python Packages and Libraries

    Lecture 161 PIP Install Python Libraries

    Section 35: Data Types In Python

    Lecture 162 Integer & Floating Point Numbers

    Lecture 163 Complex Numbers & Strings

    Lecture 164 LIST

    Lecture 165 Tuple & List Mutability

    Lecture 166 Tuple Immutability

    Lecture 167 Set

    Lecture 168 Dictionary

    Section 36: Extra Content

    Lecture 169 LIST

    Lecture 170 Working On List

    Lecture 171 Splitting Function

    Lecture 172 Range In Python

    Lecture 173 List Comprehension In Python

    Section 37: ADVANCED: Python NUMPY

    Lecture 174 Lecture Resources

    Lecture 175 Introduction To Numpy

    Lecture 176 Creating Multi-Dimensional Numpy Arrays

    Lecture 177 Numpy: Arange Function

    Lecture 178 Numpy: Zeros, Ones and Eye functions

    Lecture 179 Numpy: Reshape Function

    Lecture 180 Numpy: Linspace

    Lecture 181 Numpy: Resize Function

    Lecture 182 Numpy:Generating Random Values With random.rand

    Lecture 183 Numpy:Generating Random Values With random.randn

    Lecture 184 Numpy:Generating Random Values With random.randint

    Lecture 185 Numpy: Indexing & Slicing

    Lecture 186 Numpy: Broadcasting

    Lecture 187 Numpy: How To Create A Copy Dataset

    Lecture 188 Numpy: DataFrame Introduction

    Lecture 189 Numpy: Creating Matrix

    Section 38: Numpy Assignment

    Section 39: Python PANDAS

    Lecture 190 Pandas Lecture resources

    Lecture 191 Pandas- Series 1

    Lecture 192 Pandas- Series 2

    Lecture 193 Pandas- Loc & iLoc

    Lecture 194 Pandas- DataFrame Introduction

    Lecture 195 Pandas- Operations On Pandas DataFrame

    Lecture 196 Pandas- Selection And Indexing On Pandas DataFrame

    Lecture 197 Pandas- Reading A Dataset Into Pandas DataFrame

    Lecture 198 Pandas- Adding A Column To Pandas DataFrame

    Lecture 199 Pandas- How To Drop Columns And Rows In Pandas DataFrame

    Lecture 200 Pandas- How To Reset Index In Pandas Dataframe

    Lecture 201 Pandas- How To Rename A Column In Pandas Dataframe

    Lecture 202 Pandas- Tail(), Column and Index

    Lecture 203 Pandas- How To Check For Missing Values or Null Values(isnull() Vs Isna())

    Lecture 204 Pandas- Pandas Describe Function

    Lecture 205 Pandas- Conditional Selection With Pandas

    Lecture 206 Pandas- How To Deal With Null Values

    Lecture 207 Pandas- How To Sort Values In Pandas

    Lecture 208 Pandas- Pandas Groupby

    Lecture 209 Pandas- Count() & Value_Count()

    Lecture 210 Pandas- Concatenate Function

    Lecture 211 Pandas- Join & Merge(Creating Dataset)

    Lecture 212 Pandas-Join

    Lecture 213 Pandas- Merge

    Section 40: Data Visualisation: MatplotIib And Seaborn

    Lecture 214 Lecture resources

    Lecture 215 Matplotlib | Subplots

    Lecture 216 Seborn | Scatterplot | Correlation | Boxplot | Heatmap

    Lecture 217 Univariate | Bivariate | Multivariate Data Visualisation

    Section 41: PROJECT 1:Top Movie Streaming | NETFLIX | Amazon Prime | Hulu | Disney

    Lecture 218 Project files

    Lecture 219 Top Movie Streaming | NETFLIX | Amazon Prime | Hulu | Disney

    Section 42: PROJECT 2: Analysis of UBER Data

    Lecture 220 Project files

    Lecture 221 Analysis of UBER Data

    Section 43: Python Project Assignment

    Lecture 222 Assignment resources

    Section 44: FULL STATISTICS FOR DATA SCIENCE

    Lecture 223 Overview

    Section 45: Master Statistics For Data Science

    Lecture 224 Lecture resources

    Lecture 225 Statistics For Data Science Curriculum

    Lecture 226 Why Statistics Is Important For Data Science

    Lecture 227 How Much Maths Do I Need To Know?

    Section 46: Statistical Methods Deep Dive

    Lecture 228 Statistical Methods Deep Dive

    Lecture 229 Types Of Statistics

    Lecture 230 Common Statistical Terms

    Section 47: Data

    Lecture 231 What Is Data?

    Lecture 232 Data Types

    Lecture 233 Data Attributes and Data Sources

    Lecture 234 Structured Vs Unstructured Data

    Section 48: Frequency Distribution

    Lecture 235 Frequency Distribution

    Section 49: Central Tendency

    Lecture 236 Central Tendency

    Lecture 237 Mean,Median, Mode

    Section 50: Measures of Dispersion

    Lecture 238 Measures of Dispersion

    Lecture 239 Variance and Standard Deviation

    Lecture 240 Example of Variance and Standard Deviation

    Lecture 241 Variance and Standard Deviation In Python

    Section 51: Coefficient of Variations

    Lecture 242 Coefficient of Variations

    Section 52: The Five Number Summary & The Quartiles

    Lecture 243 The Five Number Summary

    Lecture 244 The Quartiles: Q1 | Q2 | Q3 | IQR

    Section 53: The Normal Distribution

    Lecture 245 Introduction To Normal Distribution

    Lecture 246 Skewed Distributions

    Lecture 247 Central Limit Theorem

    Section 54: Correlation

    Lecture 248 Introduction to Correlation

    Lecture 249 Scatterplot For Correlation

    Lecture 250 Correlation is NOT Causation

    Section 55: Probability

    Lecture 251 Why Probability In Data Science?

    Lecture 252 Probability Key Concepts

    Lecture 253 Mutually Exclusive Events

    Lecture 254 Independent Events

    Lecture 255 Rules For Computing Probability

    Section 56: Baye's Theorem

    Lecture 256 Baye's Theorem Overview

    Section 57: Hypothesis Testing

    Lecture 257 Introduction To Hypothesis

    Lecture 258 Null Vs Alternative Hypothesis

    Lecture 259 Setting Up Null and Alternative Hypothesis

    Lecture 260 One-tailed Vs Two-tailed test

    Lecture 261 Key Points On Hypothesis Testing

    Lecture 262 Type 1 vs Type 2 Errors

    Lecture 263 Process Of Hypothesis testing

    Lecture 264 P-Value

    Lecture 265 Alpha-Value or Alpha Level

    Lecture 266 Confidence Level

    Section 58: PROJECT: Statistics For Data Science

    Lecture 267 Project resources

    Lecture 268 Project Solution Code

    Section 59: GITHUB For Data Science

    Lecture 269 Lecture resources

    Lecture 270 Introduction to Github for Data Science

    Lecture 271 Setting up Github account for Data Science projects

    Lecture 272 Create Github Profile for Data Science

    Lecture 273 Create Github Project Description for Data Science

    Section 60: ARTIFICIAL INTELLIGENCE(AI) and MACHINE LEARNING(ML)

    Lecture 274 Overview

    Section 61: FULL MACHINE LEARNING COURSE

    Lecture 275 Introduction To Machine Learning

    Lecture 276 Overview of Machine Learning Curriculum

    Lecture 277 Practical Understanding Of Machine Learning (PART 1)

    Lecture 278 Practical Understanding Of Machine Learning (PART 2)

    Lecture 279 Applications of Machine Learning

    Lecture 280 Machine Learning Life Cycle

    Section 62: USE CASE

    Lecture 281 The Microsoft Data Science Project

    Lecture 282 Setting Up Your Environment for Machine Learning

    Section 63: Machine Learning Algorithms

    Lecture 283 How Machine Learning Algorithms Learn

    Lecture 284 Difference Between Algorithm and Model

    Lecture 285 Supervised vs Unsupervised ML

    Lecture 286 Dependent vs Independent Variables

    Section 64: Working with Machine Learning Data

    Lecture 287 Lecture Resources

    Lecture 288 Considerations When Loading Data

    Lecture 289 Loading Data from a CSV File

    Lecture 290 Loading Data from a URL

    Lecture 291 Loading Data from a Text File

    Lecture 292 Loading Data from an Excel File

    Lecture 293 Skipping Rows while Loading Data

    Lecture 294 Peek at your Data

    Lecture 295 Dimension of your Data

    Lecture 296 Checking Data Types of your Dataset

    Lecture 297 Descriptive Statistics of your Dataset

    Lecture 298 Class Distribution of your Dataset

    Lecture 299 Correlation of your Dataset

    Lecture 300 Skewness of your Dataset

    Lecture 301 Missing Values in your Dataset

    Lecture 302 Histogram of Dataset

    Lecture 303 Density Plot of Dataset

    Lecture 304 Box and Whisker Plot

    Lecture 305 Correlation Matrix

    Lecture 306 Scatter Matrix(Pairplot)

    Section 65: SUPERVISED MACHINE LEARNING ALGORITHMS

    Lecture 307 Overview

    Section 66: Regression

    Lecture 308 What is Regression?

    Section 67: Linear Regression

    Lecture 309 Introduction to Linear Regression

    Lecture 310 Conceptual Understanding of Linear Regression

    Lecture 311 Planes and Hyperplane

    Lecture 312 MSE vs RMSE

    Section 68: LAB SESSION: Linear Regression

    Lecture 313 Training Data vs Validation Data vs Testing Data

    Lecture 314 Splitting Dataset into Training and Testing

    Lecture 315 Linear Regression LAB 1

    Lecture 316 Linear Regression LAB 2(PART 1)

    Lecture 317 Linear Regression LAB 2(PART 2)

    Section 69: Logistic Regression Algorithm

    Lecture 318 Regressor Algorithm Vs Classifier Algorithm

    Lecture 319 Introduction To Logistic Regression Algorithm

    Lecture 320 Limitations of Linear Regression

    Lecture 321 PART 2: Intuitive Understanding Of Logistic Regression

    Lecture 322 The Mathematics Behind Logistic Regression Algorithm

    Lecture 323 LAB SESSION 1: Practical Implementation of Logistic Regression Algorithm

    Lecture 324 LAB SESSION 2: Practical Implementation of Logistic Regression Algorithm

    Lecture 325 LAB SESSION 3: Building Logistic Regression Model

    Section 70: Naive Bayes Algorithm (NB)

    Lecture 326 Introduction to Naive Bayes Algorithm

    Lecture 327 The Mathematics Behind Naive Bayes Algorithm

    Lecture 328 LAB SESSION: Building Naive Bayes Model

    Section 71: K-Nearest Neighbor Algorithm (KNN)

    Lecture 329 Introduction to K-Nearest Neighbor Algorithm

    Lecture 330 Distance Measures In K-Nearest Neighbor

    Lecture 331 Exploratory Data Analysis In K-NN

    Lecture 332 LAB SESSION: Building A K-Nearest Neighbor

    Lecture 333 Choosing K In K-NN

    Section 72: Support Vector Machine Algorithm (SVM)

    Lecture 334 Introduction to Support Vector Machine (SVM) algorithm

    Lecture 335 Mathematics of SVM and Intuitive Understanding of SVM Algorithm

    Lecture 336 Non-Linearly Separable Vectors

    Lecture 337 SVM Data Pre-processing

    Lecture 338 Building an SVM Model

    Section 73: Machine Learning Algorithm Performance Metrics

    Lecture 339 Lecture Resources

    Lecture 340 Overview

    Lecture 341 Confusion Matrix: True Positive | False Positive | True Negative | False Neg.

    Lecture 342 Accuracy

    Lecture 343 Precision

    Lecture 344 Recall

    Lecture 345 The Tug of War between Precision and Recall

    Lecture 346 F 1 Score

    Lecture 347 Classification Report

    Lecture 348 ROC and AUC

    Lecture 349 LAB SESSION: AUC and ROC

    Section 74: Overfitting and Underfitting

    Lecture 350 Overfitting and Underfitting

    Lecture 351 LAB SESSION: Preventing Overfitting (PART 1)

    Lecture 352 LAB SESSION: Preventing Overfitting (PART 2)

    Lecture 353 Preventing Underfitting

    Section 75: Bias vs Variance

    Lecture 354 Bias vs Variance

    Lecture 355 The Bias Variance Tradeoff

    Section 76: Decision Tree Algorithm

    Lecture 356 Decision Tree Overview

    Lecture 357 CART: Introduction To Decision Tree

    Lecture 358 Purity Metrics: Gini Impurity | Gini Index

    Lecture 359 Calculating Gini Impurity (PART 1)

    Lecture 360 Calculating Gini Impurity (PART 2)

    Lecture 361 Information Gain

    Lecture 362 Overfitting in Decision Trees

    Lecture 363 Prunning

    Lecture 364 LAB SESSION: Prunning

    Section 77: Ensemble Techniques

    Lecture 365 Lecture Resources

    Lecture 366 Introduction To Ensemble Techniques

    Lecture 367 Understanding Ensemble Techniques

    Lecture 368 Difference b/n Random Forest & Decision Tree

    Lecture 369 Why Random Forest Algorithm

    Lecture 370 More on Random Forest Algorithm

    Lecture 371 Introduction to Bootstrap Sampling | Bagging

    Lecture 372 Understanding Bootstrap Sampling

    Lecture 373 Diving Deeper into Bootstrap Sampling

    Lecture 374 Bootstrap Sampling summary

    Lecture 375 Bagging

    Lecture 376 Boosting

    Lecture 377 Adaboost : Introduction

    Lecture 378 The Maths behind Adaboost algorithm

    Lecture 379 Gradient Boost: Introduction

    Lecture 380 Gradient Boosting : An Intuitive Understanding

    Lecture 381 The Mathematics behind Gradient Boosting Algorithm

    Lecture 382 XGBoost: Introduction

    Lecture 383 Maths of XGBoost (PART 1)

    Lecture 384 Maths of XGBoost (PART 2)

    Lecture 385 LAB SESSION 1: Ensemble Techniques

    Lecture 386 LAB SESSION 2: Ensemble Techniques

    Lecture 387 Stacking: An Introduction

    Lecture 388 LAB SESSION: Stacking

    Section 78: UNSUPPERVISED MACHINE LEARNING ALGORITHMS

    Lecture 389 Overview

    Section 79: K-Means Clustering Algorithm

    Lecture 390 Difference between K-NN and K-Means

    Lecture 391 Introduction to K-Means Clustering algorithm

    Lecture 392 The Llyod's Method-Shifting the Centroids

    Lecture 393 LAB SESSION: K-Means Algorithm

    Lecture 394 Choosing K in Kmeans-The Elbow Method

    Section 80: Hierarchical Clustering Algorithm

    Lecture 395 Introduction to Hierarchical Clustering

    Lecture 396 Dendrograms(Cophenetic correlation)

    Lecture 397 LAB SESSION: Building Hierarchical Clustering Model

    Section 81: Principal Component Analysis (PCA)

    Lecture 398 Overview of Principal Component Analysis (PCA)

    Section 82: Feature Engineering : Model Selection & Optimisation

    Lecture 399 Lecture Resources

    Lecture 400 KFold Cross Validation

    Lecture 401 LAB SESSION: KFold Cross Validation

    Lecture 402 Bootstrap Sampling

    Lecture 403 Leave One Out Cross Validation(LOOCV)

    Lecture 404 Hyper-parameter Tuning: An Introduction

    Lecture 405 GridSearchCV: An Introduction

    Lecture 406 RandomSearchCV: An Introduction

    Lecture 407 LAB SESSION 1: GridSearchCV

    Lecture 408 LAB SESSION 2: GridSearchCV

    Lecture 409 LAB SESSION: RandomSearchCV

    Lecture 410 Reguralization

    Lecture 411 Lasso(L1) and Ridge (L2) Regression

    Section 83: Saving and Loading ML Model

    Lecture 412 Saving and Loading ML Model

    Section 84: WEB SCRAPING

    Lecture 413 Lecture resources

    Lecture 414 Introduction To Web Scraping Libraries

    Lecture 415 Library- Requests

    Lecture 416 Library- BeautifulSoup

    Lecture 417 Library- Selenium

    Lecture 418 Library- Scrapy

    Section 85: Web Scraping On Wikipedia

    Lecture 419 Web Scraping On Wikipedia

    Section 86: Online Book Store Web Scraping

    Lecture 420 Lecture resources

    Lecture 421 Critical Analysis Of Web Pages

    Lecture 422 PART 1- Examining And Scraping Individual Entities From Source Page

    Lecture 423 PART 2- Examining And Scraping Individual Entities From Source Page

    Lecture 424 Data Preprocessing On Scraped Data

    Section 87: Job Board Data Web Scrapping and Automation with Python

    Lecture 425 lecture resources

    Lecture 426 Indian Institute Of Business(ISB)- Project Introduction

    Lecture 427 Problem Statement & Dataset

    Lecture 428 Demystify The Structure Of Web Page URLs

    Lecture 429 Formulating Generic Web Page URLs

    Lecture 430 Forming The Structure Of Web Page URLs

    Lecture 431 Creating A DataFrame For Scraped Data

    Lecture 432 Creating A Generic Auto Web Scraper

    Section 88: RECOMMENDATION SYSTEMS

    Lecture 433 Lecture Resources

    Lecture 434 Recommendation System: An Overview

    Lecture 435 Where Recommender Systems came from

    Lecture 436 Applications of Recommendation Systems

    Lecture 437 Why Recommender Systems?

    Lecture 438 Types of Recommender Systems

    Lecture 439 Popularity based Recommender Systems

    Lecture 440 LAB SESSION: Popularity based Recommender

    Lecture 441 Content-based Filtering: An Overview

    Lecture 442 Cosine Similarity

    Lecture 443 Cosine Similarity with Python

    Lecture 444 Document Term Frequency Matrix

    Lecture 445 LAB SESSION: Building Content-based Recommender Engine

    Lecture 446 Collaborative Filtering: An Introduction

    Lecture 447 LAB SESSION: Collaborative Filtering

    Lecture 448 Evaluation Metrics for Recommender Systems

    Section 89: STREAMLIT TUTORIAL

    Lecture 449 Overview

    Lecture 450 Part 1

    Lecture 451 Part 2

    Lecture 452 Part 3

    Lecture 453 PART 1 : Building Your First Streamlit App

    Lecture 454 PART 2 : Building Your First Streamlit App

    Lecture 455 PART 3 : Building Your First Streamlit App

    Lecture 456 PART 4 : Building Your First Streamlit App

    Section 90: FLASK TUTORIAL

    Lecture 457 Introduction

    Lecture 458 Installation and Initializing Flask

    Lecture 459 Linking HTML files

    Lecture 460 Linking CSS files.mp4

    Section 91: End-to-End Machine Learning with DEPLOYMENT : Predict Restaurant Rating

    Lecture 461 Predict Restaurant Rating

    Lecture 462 Dataset overview

    Lecture 463 Exploratory Data Analysis (EDA)

    Lecture 464 ML Model Building

    Lecture 465 Key Flask Concepts

    Lecture 466 Creating Folders

    Lecture 467 Creating Folder Contents

    Lecture 468 Final Deployment

    Section 92: CLOUD: Heroku Deployment

    Lecture 469 Predict Flight Price

    Lecture 470 Part 1

    Lecture 471 Part 2

    Lecture 472 Part 3

    Lecture 473 Part 4

    Lecture 474 Part 5

    Lecture 475 Part 6 : Final Deployment

    Section 93: CLOUD Deployment: Amazon Web Service

    Lecture 476 Lecture Resources

    Lecture 477 Introduction: AWS Deployment

    Lecture 478 Dataset Overview

    Lecture 479 Creating App.py File

    Lecture 480 PART 1: AWS Deployment

    Lecture 481 PART 1.1: AWS Deployment

    Lecture 482 PART 2: AWS Deployment

    Section 94: CLOUD Deployment: Microsoft Azure

    Lecture 483 Lecture resources

    Lecture 484 Azure Cloud Deployment

    Section 95: PROJECTS SESSION: MACHINE LEARNING

    Lecture 485 Overview

    Section 96: ML PROJECTS: Building a Netflix Recommendation System

    Lecture 486 Project files

    Lecture 487 Building a Netflix Recommendation System

    Lecture 488 Data Preparation (PART 1)

    Lecture 489 Data Preparation (PART 2)

    Lecture 490 Data Preparation (PART 3&4)

    Lecture 491 Data Preparation (PART 5)

    Lecture 492 Main.py (PART 1)

    Lecture 493 Main.py (PART 2)

    Lecture 494 Preparing HTML Files 1

    Lecture 495 Preparing HTML Files 2

    Lecture 496 Final Heroku Cloud Deployment

    Lecture 497 Optional: How to Fix Errors when deploying

    Section 97: ML PROJECTS: Building CRUD App

    Lecture 498 project files

    Lecture 499 CRUD Project Overview

    Lecture 500 Building CRUD App

    Section 98: ML PROJECT: Building Covid-19 Report Dashboard for Berlin City

    Lecture 501 Project files

    Lecture 502 Project Overview: Building Covid-19 Report Dashboard App for Berlin City

    Lecture 503 Building a Covid Dashboard App for Berlin City

    Section 99: ML PROJECTS: Building IPL Score Predictor App

    Lecture 504 ML Project: Building IPL Score Predictor App

    Lecture 505 Dataset Overview

    Lecture 506 Exploratory Data Analysis

    Lecture 507 Dealing With Categorical Values

    Lecture 508 Model Building

    Lecture 509 App.py

    Lecture 510 Index.html and style.css

    Section 100: ML PROJECTS: BigMart Sales Prediction

    Lecture 511 Introduction

    Lecture 512 Exploratory Data Analysis

    Lecture 513 Feature Engineering

    Lecture 514 Model Building

    Section 101: ML PROJECTS: Predicting Compressive Strength

    Lecture 515 Overview

    Lecture 516 Exploratory Data Analysis

    Lecture 517 Feature Engineering

    Lecture 518 ML Model Building

    Section 102: ML PROJECTS: Building a Sales Forcast App

    Lecture 519 Project files

    Lecture 520 Building A Sales Forecast App

    Lecture 521 Exploratory Data Analysis

    Lecture 522 Feature Creation

    Lecture 523 Feature Correlation and Multicolinearity

    Lecture 524 Dealing with Outliers

    Lecture 525 Building the ML Model

    Lecture 526 Deploy with Flask

    Section 103: ML PROJECTS: Building A Breast Cancer Predictor App

    Lecture 527 Project resources

    Lecture 528 ML Project: Building A Breast Cancer Predictor App

    Lecture 529 Dataset Overview

    Lecture 530 Exploratory Data Analysis

    Lecture 531 EDA With Visualization

    Lecture 532 Building ML Model

    Lecture 533 Walkthrough Of App.py

    Lecture 534 Walkthrough Of Index.html and Static files

    Section 104: SCIENTIFIC RESEARCH PAPER

    Lecture 535 Lecture resources

    Lecture 536 Reading Scientific Paper: An Overview

    Lecture 537 What you will learn

    Lecture 538 What is a Scientific Research Paper?

    Lecture 539 Importance of Reading Research Papers

    Lecture 540 Components of a Research Paper

    Lecture 541 How to Read Scientific Research Papers

    Lecture 542 Where to find Data Science research papers

    Lecture 543 Assignment

    Section 105: ARTIFICIAL INTELLIGENCE

    Lecture 544 Lecture resources

    Lecture 545 Artificial Intelligence: An Introduction

    Lecture 546 The Big Picture of AI

    Section 106: DEEP LEARNING

    Lecture 547 Introduction To Deep Learning

    Lecture 548 What you will learn

    Lecture 549 What is Artificial Neural Network?

    Lecture 550 Neurons and Perceptrons

    Lecture 551 Machine Learning vs Deep Learning

    Lecture 552 Why Deep Learning

    Lecture 553 Applications of Deep Learning

    Section 107: Artificial Neural Network

    Lecture 554 Neural Network: An Overview

    Lecture 555 Architecture: Components of the Perceptron

    Lecture 556 Fully Connected Neural Network

    Lecture 557 Types of Neural Networks

    Lecture 558 How Neural Networks work

    Lecture 559 Propagation: Forward and Back Propagation

    Lecture 560 Understanding Neural Network

    Lecture 561 Hands-on of Forward and Back Propagation (PART 1)

    Lecture 562 Hands-on of Forward and Back Propagation (PART 2)

    Lecture 563 Chain Rule in Backpropagation

    Lecture 564 Optimizers In NN

    Section 108: Activation Functions

    Lecture 565 Activation Functions: An Introduction

    Lecture 566 Sigmoid Activation Function

    Lecture 567 Vanishing Gradient

    Lecture 568 TanH Activation Function

    Lecture 569 ReLU Activation Function

    Lecture 570 Leaky ReLU Activation Function

    Lecture 571 ELU Activation Function

    Lecture 572 SoftMax Activation Function

    Lecture 573 Activation functions summary

    Section 109: Tensorflow and Keras

    Lecture 574 Overview

    Lecture 575 Introduction to Tensorflow

    Lecture 576 Tensors and Dataflows in Tensorflow

    Lecture 577 Tensorflow Versions

    Lecture 578 Keras

    Section 110: LAB SESSION: Deep Learning(ANN)

    Lecture 579 Lecture resources

    Lecture 580 LAB SESSION : Building your first Neural Network

    Lecture 581 LAB SESSION : Building your Second Neural Network

    Lecture 582 Handling Overfitting in Neural Network

    Lecture 583 L2 Regularisation

    Lecture 584 Dropout for Overfitting in Neural Network

    Lecture 585 Early Stopping for overfitting in NN

    Lecture 586 ModelCheck pointing

    Lecture 587 Load best weight

    Lecture 588 Tensorflow Playground

    Lecture 589 Building Your Third Neural Network with MNIST

    Section 111: FULL COMPUTER VISION COURSE

    Lecture 590 Lecture resources

    Section 112: COMPUTER VISION (CV): Beginner Level

    Lecture 591 lecture resources

    Lecture 592 Working with Images

    Lecture 593 The concept of Pixels

    Lecture 594 Gray-Scale Image

    Lecture 595 Color Image

    Lecture 596 Different Image formats

    Lecture 597 Image Transformation: Filtering

    Lecture 598 Affine and Projective Transformation

    Lecture 599 Image Feature Extraction

    Lecture 600 LAB SESSION: working with images

    Lecture 601 LAB SESSION 2: Working with Images

    Section 113: CPU vs GPU vs TPU

    Lecture 602 Introduction to CPUs, GPUs and TPUs

    Lecture 603 Accessing GPUs for Deep Learning

    Lecture 604 CPU vs GPU speed

    Section 114: COMPUTER VISION: Intermediate Level

    Lecture 605 Lecture resources

    Lecture 606 Introduction to Convolutional Neural Networks(CNN)

    Lecture 607 Understanding Convolution (PART 1)

    Lecture 608 Understanding Convolution (PART 2)

    Lecture 609 Convolution Operation

    Lecture 610 Understanding : Filter/Kernel | Feature Map | Input Volume | Receptive Field

    Lecture 611 Filter vs Kernel

    Lecture 612 Stride and Step Size

    Lecture 613 Padding

    Lecture 614 Pooling

    Lecture 615 Understanding CNN Architecture

    Lecture 616 LAB SESSION: CNN Lab 1

    Lecture 617 LAB SESSION: CNN Lab 2

    Section 115: COMPUTER VISION: Advanced Level

    Lecture 618 Overview

    Lecture 619 Lecture resources

    Section 116: CNN Architectures

    Lecture 620 State-of-the-Art CNN architecture

    Lecture 621 LeNet Architecture

    Lecture 622 LAB SESSION: LeNet LAB

    Lecture 623 AlexNet Architecture

    Lecture 624 LAB SESSION: AlexNet LAB

    Lecture 625 VGG Architecture and LAB

    Lecture 626 GoogleNet or Inception Net

    Section 117: Transfer Learning

    Lecture 627 Understanding Transfer Learning

    Lecture 628 Steps to perform transfer learning

    Lecture 629 When to use Transfer learning and when NOT to use.

    Lecture 630 LAB SESSION: Transfer Learning with VGG-16

    Section 118: Object Detection

    Lecture 631 Overview and Agenda

    Lecture 632 Computer Vision Task

    Lecture 633 Datasets Powering Object Detection

    Lecture 634 Image Classification vs Image Localisation

    Lecture 635 Challenges of Object Detection

    Section 119: Performance Metrics for Object Detection

    Lecture 636 Intersection Over Union(IoU)

    Lecture 637 Precision and Recall

    Lecture 638 Mean Average Precision(mAP)

    Section 120: Objection Detection Techniques

    Lecture 639 Lecture resources

    Lecture 640 Overview

    Lecture 641 Brute Force Approach

    Lecture 642 Sliding Window

    Lecture 643 Region Proposal

    Lecture 644 R-CNN

    Lecture 645 Fast R-CNN

    Lecture 646 ROI Pooling

    Lecture 647 Faster R-CNN

    Lecture 648 State-of-the-Art Algorithms

    Lecture 649 YOLO

    Lecture 650 LAB SESSION 1: YOLO LAB Overview

    Lecture 651 LAB SESSION 2: YOLO

    Lecture 652 LAB SESSION 3: YOLO

    Lecture 653 SSD

    Section 121: OPENCV FULL TUTORIAL

    Lecture 654 Introduction To OpenCV

    Lecture 655 Opencv Installation

    Lecture 656 Opencv Setup

    Lecture 657 Reading Images

    Lecture 658 Reading Video

    Lecture 659 Stacking Images together

    Lecture 660 OpenCV Join

    Lecture 661 IMAGE: Face Detection with OpenCV

    Lecture 662 VIDEO: Face Detection with OpenCV

    Lecture 663 Live Streaming with OpenCV

    Lecture 664 OpenCV Functions

    Lecture 665 Image Detection Techniques

    Lecture 666 Edge Detection

    Lecture 667 Dilation and Erode

    Lecture 668 OpenCV Conventions

    Lecture 669 Adding Shapes

    Lecture 670 Creating Lines

    Lecture 671 Creating Shapes(Rectangle)

    Lecture 672 Creating Shapes(Circle)

    Lecture 673 Warp Perspective

    Lecture 674 Adding Text

    Section 122: PROJECTS: COMPUTER VISION PROJECTS

    Lecture 675 Overview

    Section 123: CV PROJECT: Car Parking Space Counter Using OpenCV

    Lecture 676 Car Park Counter with OpenCV: Project Overview

    Lecture 677 PART 1: Building Car Park Counter With OpenCV

    Lecture 678 PART 2: Building Car Park Counter With OpenCV

    Section 124: CV PROJECT(Kaggle): Fruit and Vegetable Classification

    Lecture 679 Lecture resources

    Lecture 680 PROJECT: Fruit and Vegetable Classification Overview

    Lecture 681 Setup your First Kaggle Code Notebook

    Lecture 682 Building Fruit and Vegetable Classifier with Kaggle Notebooks

    Lecture 683 Deploy a Computer Vision Classifier App

    Section 125: CV PROJECT: Predicting Lung Disease with Computer Vision

    Lecture 684 Predicting Lung Disease

    Section 126: CV PROJECT: Nose Mask Detection with Computer Vision

    Lecture 685 Project files

    Lecture 686 Data Preprocessing

    Lecture 687 Training the CNN

    Lecture 688 Detecting Face Mask

    Section 127: CV PROJECT: Pose Detection

    Lecture 689 Building a Pose Detector

    Lecture 690 LAB: Building a Pose Detector

    Section 128: CV PROJECT: Building a Face Detector with Computer vision

    Lecture 691 Building a Face Detector with AI

    Lecture 692 LAB: Building a Face Detector

    Section 129: CV PROJECT: Building a virtual AI Keyboard

    Lecture 693 CV Project : Building AI Virtual Keyboard

    Lecture 694 Building AI Virtual Keyboard (PART 1)

    Lecture 695 Building AI Virtual Keyboard (PART 2)

    Lecture 696 Building AI Virtual Keyboard (PART 3)

    Lecture 697 Building AI Virtual Keyboard (PART 4)

    Lecture 698 Building AI Virtual Keyboard (PART 5)

    Section 130: CV PROJECT: Yolov4 Object Detection Using Webcam

    Lecture 699 Yolov4 Object Detection Using Webcam

    Section 131: NATURAL LANGUAGE PROCESSING(NLP)

    Lecture 700 Lecture resources

    Lecture 701 Overview

    Lecture 702 Recapitulation

    Lecture 703 What is NLP?

    Lecture 704 Applications of NLP

    Lecture 705 The Must-Know NLP Terminologies

    Lecture 706 Word

    Lecture 707 Tokens and Tokenizations

    Lecture 708 Corpus

    Lecture 709 Sentence and Document

    Lecture 710 Vocabulary

    Lecture 711 Stopwords

    Section 132: Hands-On NLP: Text Pre-processing

    Lecture 712 Tokenization with NLTK , SpaCy and Gensim

    Lecture 713 Removing Stopwords with NLP Libraries

    Section 133: Text Pre-processing: Normalization

    Lecture 714 Text Normalization

    Lecture 715 Stemming and Lemmatization

    Lecture 716 LAB SESSION: Stemming and Lemmatization

    Section 134: Part Of Speech (POS) Tagging

    Lecture 717 Lecture resources

    Lecture 718 Understanding POS Tagging

    Lecture 719 LAB SESSION: Part of Speech Tagging

    Lecture 720 Chunking

    Section 135: Hands-On Text Pre-processing

    Lecture 721 Advanced Text Preprocessing

    Lecture 722 Frequency of Words | Bi-Gram | N-Grams

    Lecture 723 More on Stemming and Lemmatization

    Section 136: Introduction To Statistical NLP Techniques

    Lecture 724 Bag of Words (BoW)

    Lecture 725 TF-IDF

    Section 137: Language Modelling

    Lecture 726 Understanding language modelling

    Section 138: INTERMEDIATE LEVEL: Word Embeddings

    Lecture 727 Understanding Word Embeddings

    Lecture 728 Feature Representations

    Section 139: Word2Vec

    Lecture 729 The Challenge with BoW and TF-IDF

    Lecture 730 Understanding Word2Vec

    Lecture 731 LAB SESSION: Word2Vec

    Lecture 732 CBOW and Skip-Gram

    Section 140: GloVe

    Lecture 733 Understanding GloVe

    Section 141: Sentence Parsing

    Lecture 734 Sentence Parsing

    Lecture 735 Chunking & Chinking & Syntax Tree

    Section 142: Sequential Models

    Lecture 736 Sequential Model: An Introduction

    Lecture 737 Traditional ML vs Sequential Modelling

    Section 143: ADVANCED LEVEL: Recurrent Neural Network (RNN)

    Lecture 738 What is a Recurrent Neural Network (RNN) ?

    Lecture 739 Types of RNNs

    Lecture 740 Use Cases of RNNs

    Lecture 741 Vanilla Neural Network (NN) vs Recurrent Neural Network (RNN)

    Lecture 742 Backpropagation Through Time (BTT)

    Lecture 743 Mathematics Behind BTT

    Lecture 744 Vanishing and Exploding Gradient

    Lecture 745 The problem of Long Term Dependencies

    Lecture 746 Bidirectional RNN (BRNN)

    Lecture 747 Gated Recurrent Unit(GRU)

    Section 144: LSTM

    Lecture 748 Lecture resources

    Lecture 749 LSTM: An Introduction

    Lecture 750 The LSTM Architecture

    Lecture 751 LAB SESSION 1: LSTM

    Lecture 752 LAB SESSION 2: Tween Sentiment Analysis using RNN

    Lecture 753 LAB SESSION 3: Tween Sentiment Analysis using LSTM

    Section 145: Sequence To Sequence Models (Seq2Seq)

    Lecture 754 Sequence To Sequence models: An introduction

    Lecture 755 Encoder & Decoder

    Lecture 756 LAB SESSION: Language Translation

    Lecture 757 LAB SESSION 2: Language Translation

    Section 146: NLP PROJECT: Sentiment Analyzer

    Lecture 758 Project files

    Lecture 759 Building Sentiment Analyzer App

    Lecture 760 LAB: Building Sentiment Analyzer App

    Section 147: Name Entity Recognition (NER)

    Lecture 761 Lecture Resources

    Lecture 762 NER : An Introduction

    Lecture 763 Example of Name Entity Recognition

    Lecture 764 How Name Entity Recognition works

    Lecture 765 Applications of NER

    Lecture 766 LAB SESSION: Hands-On Name Entity Recognition

    Lecture 767 LAB SESSION 2: Name Entity Recognition

    Lecture 768 LAB SESSION: Visualizing Name Entity Recognition

    Lecture 769 Assignment

    Section 148: NLP PROJECT: Building a Name Entity Recognition App

    Lecture 770 Project: Building a Name Entity Recognition Web App

    Lecture 771 Project: Building your NER web App

    Section 149: NLP PROJECT: AI Resume Analyzer App

    Lecture 772 Project files

    Lecture 773 NLP Project: Building AI Resume Analyzer

    Lecture 774 Project: AI Resume Analyzer

    Section 150: Microsoft Power BI

    Lecture 775 Lecture resources

    Lecture 776 Power BI: An Introduction

    Lecture 777 Installation

    Lecture 778 Query Editor Overview

    Lecture 779 Connectors and Get Data Into Power BI

    Lecture 780 Clean up Messy Data (PART 1)

    Lecture 781 Clean up Messy Data (PART 2)

    Lecture 782 Clean up Messy Data (PART 3)

    Lecture 783 Creating Relationships

    Lecture 784 Explore Data Using Visuals

    Lecture 785 Analyzing Multiple Data Tables Together

    Lecture 786 Writing DAX Measure (Implicit vs. Explicit Measures)

    Lecture 787 Calculated Column

    Lecture 788 Measure vs. Calculated Column

    Lecture 789 Hybrid Measures

    Lecture 790 The 80/20 Rule

    Lecture 791 Text, Image, Cards, Shape

    Lecture 792 Conditional Formatting

    Lecture 793 Line Chart, Bar Chart

    Lecture 794 Top 10 Products/Customers

    Section 151: GUIDE TO HACKATHONS AND VIRTUAL INTERNSHIP

    Lecture 795 Hackathons

    Lecture 796 Guide to Virtual Internship

    This course is for beginners who want to start a career in Data Science,Anyone who is interested to become a Full Stack Data Scientist,Any student who want to enter the field of Data Science after college,Any graduate who finds it difficult to find job in other IT field and will like to upskill in Data Science to secure a job,Any employee or worker looking for a career change,Anyone interested in the field of Artificial Intelligence,Anyone interested in the field of Computer Vision,Anyone interested in the field of Natural Language Processing,Anyone enrolled in other course and finding it difficult to understand the concepts,Anyone who wants to really dive deep into understanding the concepts and master it,Anyone who wants to secure a job in the field of Data Science, AI and Machine Learning,Anyone interested in building AI and Data Science products

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    Code:
    https://k2s.cc/file/df26654a83651/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part01.rar
    https://k2s.cc/file/2285d658fc148/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part02.rar
    https://k2s.cc/file/f043b221e0902/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part03.rar
    https://k2s.cc/file/540c08d0645b8/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part04.rar
    https://k2s.cc/file/172425a8b6667/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part05.rar
    https://k2s.cc/file/d8671b0a84e79/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part06.rar
    https://k2s.cc/file/23c43af670fb5/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part07.rar
    https://k2s.cc/file/b49596522e334/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part08.rar
    https://k2s.cc/file/6d762eb31ac61/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part09.rar
    https://k2s.cc/file/78b1483273b41/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part10.rar
    https://k2s.cc/file/d995643369e3a/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part11.rar
    https://k2s.cc/file/c693ede096a76/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part12.rar
    https://k2s.cc/file/3db405a5ce4bc/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part13.rar
    https://k2s.cc/file/7054c103e695e/The_Full_Stack_Data_Scientist_BootCamp%D0%B1%E2%95%9D.part14.rar
    Code:
    https://rapidgator.net/file/75411e3bd9079a1e654610258e58d0a2/The_Full_Stack_Data_Scientist_BootCamp?.part01.rar.html
    https://rapidgator.net/file/59b6970535f0109eae7cd62ce9064fd6/The_Full_Stack_Data_Scientist_BootCamp?.part02.rar.html
    https://rapidgator.net/file/ae4faa969945f00eb5fc76485a77c6dc/The_Full_Stack_Data_Scientist_BootCamp?.part03.rar.html
    https://rapidgator.net/file/89114e0d5864e19bebb88b11a7ec6d2e/The_Full_Stack_Data_Scientist_BootCamp?.part04.rar.html
    https://rapidgator.net/file/a088817f447d78f8498a1f6b8e37f635/The_Full_Stack_Data_Scientist_BootCamp?.part05.rar.html
    https://rapidgator.net/file/ad99da4e588971fde7a386b001a9dc8c/The_Full_Stack_Data_Scientist_BootCamp?.part06.rar.html
    https://rapidgator.net/file/ea1e823dac99331e5f2382a9b7dd2658/The_Full_Stack_Data_Scientist_BootCamp?.part07.rar.html
    https://rapidgator.net/file/dd066cf7d6304a54fa84f86d4c971f1a/The_Full_Stack_Data_Scientist_BootCamp?.part08.rar.html
    https://rapidgator.net/file/4e9298d51cb0af1ff6c8c84a3861a48f/The_Full_Stack_Data_Scientist_BootCamp?.part09.rar.html
    https://rapidgator.net/file/41c25cced546024f798b6bede62a2c2c/The_Full_Stack_Data_Scientist_BootCamp?.part10.rar.html
    https://rapidgator.net/file/d5a01c3d56c2014519bdf2888cb0520f/The_Full_Stack_Data_Scientist_BootCamp?.part11.rar.html
    https://rapidgator.net/file/2efee6198e497374aa1f6a127af9b8a7/The_Full_Stack_Data_Scientist_BootCamp?.part12.rar.html
    https://rapidgator.net/file/e90e447d04f6ecaf745d9a38e060bf85/The_Full_Stack_Data_Scientist_BootCamp?.part13.rar.html
    https://rapidgator.net/file/fb2ded2b585a3f31548587b2e388f607/The_Full_Stack_Data_Scientist_BootCamp?.part14.rar.html

  3. #5153
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    How To Repair Mobile Cell Phone And Tablet Teaching Course



    How To Repair Mobile Cell Phone And Tablet Teaching Course
    Last updated 4/2019
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 60.19 GB | Duration: 49h 4m

    Hardware; Unlock; Computer; Mobile; Cell; Phone; Android; ios; Fix; Facebook; Repair; iphone; Smartphone; Celular; Home;



    What you'll learn
    You will learn to repair your mobile phone and tablet
    Requirements
    Desktop Computer or Tablet Is Enough, You can also watch via Mobile phone

    Description
    Trends and Facts About Smartphone1. Nearly 52% of the World's population has Internet access - that's just under 4 BILLION people. Those numbers are heavily influenced by North America and Europe where Internet penetration is over 80% for each continent.2. Smartphone & Laptop repair is a major segment of the industry. IBISWorld estimates the yearly revenue of the cell phone repair industry at $4 billion, with an annual growth rate of 3%.3. SquareTrade, a company that insures smartphones, reports "a cellphone in the U.S. breaks every two seconds." Fragile LCD assembly, short battery life and other breakable parts also contribute to a stable market for smartphone repair shops. Tablet repair is also quickly gaining market share.Smartphone Repair CourseIn order to be able to repair smartphones, you will need to have an in-depth understanding of smartphones, how they work, and all their internal components. A smartphone repair course is the best way to get this knowledge, as it will allow you to learn in a structured and simple way. Our smartphone repair course is a series of lessions, taught by people who have expert knowledge of repairing smartphones. Each lessions covers a major fault that smartphones are likely to develop, showing you how to identify the problem and how to repair or replace the faulty parts. Our course is a simple and easy way to learn everything you need to about how smartphones work and how to be able to repair them.Learn Step By Step How To Fix Your Own Mobile Phones!If you find yourself in need of some mobile repair, or want to learn more about it to perhaps start repairing Cell phones for a little extra money this website has the information you needHow to disassemble & assemble different types of cell phonesIdentifying different parts of GSM and CDMA handsetsTools used for mobile phone repairingHow to use different tools used for mobile repairingWork of different parts & ICsJumpering TechniquesTechniques used to repair (troubleshooting) different faultsCourse includes repairing basic as well as advanced cellular phonesRemember, this does not have to do with mobile marketing or cell phone contracts. This entrepreneurial business model I've created has brought me success for nearly three years. There are NO start-up costs and no previous knowledge is necessary.How to assess condition and functionality, benefit from networking, and make cost-effective trades.How much to pay for cell phones in brand new, used, completely shattered and unusable conditions.You can't get this training & information anywhere else!This is the first ever home-study course which teaches you how to turn a broken Smartphone into a perfect one,and how to make a lucrative income from this RARE skill!Average Profit for each iPhone Repair is about $100. Most take less than an hour once you've mastered the iPhone Course. One person can easily do 2-3 of these per day while still working on other things.From repairs alone, it's easy for a one-man operation to be producing a $1500 per week income. That averages out at just under $80,000 per year.With refurbishment, we'll teach you how to sell broken phones at 100% more than the price you paid. You'll make an average profit of $120 on each iPhone you refurb. Higher, once you use our methods for sourcing parts cheaply.From refurbishment, working solo you can expect to do 2-3 a day, this will allow you to make a profit from $62,000 - $100,000 every year!The iPhone Course teaches you to easily scale up your refurb business, and once you start doing that and training employees with this course, the sky is the limit. The market for 2nd hand smartphones is at the beginning of a huge growth curve, your potential profits are only limited by the size of your ambition.Once you combine the 2 Business Models we teach you, a six-figure income isn't a dream, it's an expected reality.#android #ios #samsung #iphone #huawei #htc #motorola #nokia #lg #phone #repair #phonerepair #ipad #ipod #blackberry #hardware #unlock #computer#Hardware; #Unlock; #Computer; #Mobile; #Cell; #Phone; #Android; #ios; #Fix; #Facebook; #Google; #iphone; #celulares; #Celular; #Home;#kotlin #php #asp #java #photoshop #customer #mobile #facebook #youtube #instagram #twitter

    Overview

    Section 1: Blackberry Repair Tutorials

    Lecture 1 365 - Blackberry Bold 9780 Take Apart Repair Guide

    Lecture 2 379 - Blackberry Curve 8520 & 8530 Earpiece & Loud Speaker Replacement

    Lecture 3 380 - Blackberry Curve 3G 9300 _ 9330 Ear & Loud Speaker Replacement Guide

    Lecture 4 387 - Blackberry Curve 3G 9300 _ 9300 Screen Replacement Take Apart Guide

    Lecture 5 401 - Blackberry Tour 9630 Loud Speaker Replacment

    Lecture 6 402 - Blackberry Storm 2 Earpiece _ Buzzer Speaker Replacment Guide

    Lecture 7 473 - Blackberry Curve 8900 Take apart guide for LCD screen installation

    Section 2: Nokia Repair Tutorials

    Lecture 8 018 - Nokia 6 LCD & Touch Screen Replacement Guide

    Lecture 9 019 - Nokia 6 Take Apart Repair Guide

    Lecture 10 191 - Nokia Lumia 1520 Screen Replacement & Repair Guide

    Lecture 11 196 - Nokia Lumia 1020 Screen Replacement & Repair Guide

    Lecture 12 201 - Nokia Lumia 928 LCD & Touch Screen with Frame Repair Video

    Lecture 13 259 - Nokia Lumia 820 Screen Replacement Repair Guide

    Lecture 14 271 - Nokia Lumia 920 Screen Take Apart Repair Guide

    Section 3: Huawei Repair Tutorials

    Lecture 15 059 - Huawei Honor 6X Take Apart Repair Guide

    Lecture 16 061 - Huawei Mate 9 Take Apart Repair Guide

    Lecture 17 084 - Huawei Honor 8 Take Apart Repair Guide

    Lecture 18 130 - Huawei Honor 5X Take Apart Repair Guide

    Lecture 19 135 - Huawei Nexus 6P USB-C Port, Vibrator and Loudspeaker Replacement

    Lecture 20 136 - Huawei Nexus 6P Rear Camera and Fingerprint Reader Replacement

    Lecture 21 137 - Huawei Nexus 6P Front Camera and Headphone Jack Replacement

    Lecture 22 138 - Huawei Nexus 6P Battery Replacement Guide

    Lecture 23 139 - Huawei Nexus 6P LCD and Touch Screen Replacement Guide

    Section 4: Sony Repair Tutorials

    Lecture 24 063 - Sony Xperia C4 Take Apart Repair Guide

    Lecture 25 066 - Sony Xperia XZ Battery and Replacement Guide

    Lecture 26 067 - Sony Xperia XZ LCD & Touch Screen Replacement Guide

    Lecture 27 068 - Sony Xperia XZ Take Apart Repair Guide

    Lecture 28 123 - Sony Xperia Z5 Premium Take Apart Repair Guide

    Lecture 29 127 - Sony Xperia Z5 Rear and Front Camera Replacement

    Lecture 30 128 - Sony Xperia Z5 Battery Replacement Guide

    Lecture 31 129 - Sony Xperia Z5 Take Apart Repair Guide

    Lecture 32 212 - Sony Xperia Z Volume and Power Flex Cable Replacement Guide

    Lecture 33 235 - Sony Xperia Z Screen Replacement Repair Guide

    Lecture 34 341 - Sony Ericsson Xperia Play Take Apart Repair Guide

    Section 5: HTC Repair Tutorials

    Lecture 35 430 - HTC Imagio Screen Replacement & Take Apart Guide

    Lecture 36 419 - HTC MyTouch 3G Slide Touch Screen Digitizer Repair Guide

    Lecture 37 416 - HTC MyTouch 4G Take Apart & Screen Repair Guide

    Lecture 38 412 - HTC FreeStyle Screen Replacement Take Apart Guide

    Lecture 39 414 - HTC EVO Shift 4G LCD Screen Replacement Repair Guide

    Lecture 40 409 - HTC Thunderbolt Screen Replacement Take Apart Guide

    Lecture 41 400 - HTC Eris Droid Ear _ Buzzer Speaker Replacment Guide

    Lecture 42 391 - HTC Droid Incredible Earpiece _ Buzzer Speaker Repalcement Guide

    Lecture 43 396 - HTC Evo 4G Ear _ Buzzer Speaker Replacment Guide

    Lecture 44 397 - HTC Droid Incredible Loud _ Ringer Speaker Replacement Guide

    Lecture 45 394 - HTC Droid Incredible 2 Glass Digitizer Replacement Repair Guide

    Lecture 46 393 - HTC Droid Incredible 2 LCD Screen Replacement Take Apart Guide

    Lecture 47 373 - HTC Trophy Screen Repair Take Apart Guide

    Lecture 48 381 - HTC Evo 3D Earpiece Speaker Replacement Guide

    Lecture 49 382 - HTC Thunderbolt 4G Loud _ Ringer Speaker Replacement Guide

    Lecture 50 377 - HTC Arrive Speaker Replacement Take Apart Repair Guide

    Lecture 51 378 - HTC MyTouch 3G Slide Loud Speaker Replacement Guide

    Lecture 52 374 - HTC Trophy Earpiece Speaker Repair Guide

    Lecture 53 358 - HTC Wildfire S Screen Repair Guide

    Lecture 54 361 - HTC Merge Loud Speaker Replacement Guide

    Lecture 55 356 - HTC Wildfire S Loud Speaker Replacement Guide

    Lecture 56 354 - HTC Evo 3D Screen Repair Take Apart Guide

    Lecture 57 353 - HTC Rezound Screen Replacement Take Apart Repair Guide

    Lecture 58 350 - HTC MyTouch 4G Slide Screen Replacement Repair Guide

    Lecture 59 339 - HTC Sensation Loud Speaker Replacement Guide

    Lecture 60 344 - HTC Sensation Take Apart Guide

    Lecture 61 337 - HTC Rezound Ear Speaker Replacement Guide

    Lecture 62 338 - HTC Rezound Loud Speaker Replacement Guide

    Lecture 63 334 - HTC Status Take Apart Repair Guide

    Lecture 64 332 - HTC Rhyme Take Apart Repair Guide

    Lecture 65 331 - How To Fix A HTC Sensation Touch Screen

    Lecture 66 300 - HTC Hero S Screen Replacement Repair

    Lecture 67 298 - HTC One X Screen Replacement How to

    Lecture 68 290 - HTC Droid Incredible LTE Screen Repair

    Lecture 69 267 - HTC Droid DNA Screen Replacement Repair Guide

    Lecture 70 268 - HTC One S Screen Replacement Repair Guide

    Lecture 71 263 - HTC One S Battery Replacement Guide

    Lecture 72 262 - HTC One S Camera Replacement Guide

    Lecture 73 260 - HTC Windows Phone 8S Screen Replacement Repair Guide

    Lecture 74 256 - HTC Droid DNA Camera Replacement Guide

    Lecture 75 257 - HTC Droid DNA Speaker Replacement Guide

    Lecture 76 248 - HTC Windows Phone 8S Ear Speaker Replacement Guide

    Lecture 77 255 - HTC Droid DNA Battery Replacement Guide

    Lecture 78 245 - HTC Windows Phone 8S Loud Ringer Speaker Replacement Guide

    Lecture 79 246 - HTC Windows Phone 8S Battery Replacement Guide

    Lecture 80 239 - HTC First (Facebook Phone) Screen Replacement Repair Guide

    Lecture 81 206 - HTC One Screen Repair Guide - Complete Tear Down

    Lecture 82 184 - HTC One M8 Screen Replacement & Repair Guide

    Lecture 83 160 - HTC Nexus 9 Take Apart Repair Guide

    Lecture 84 145 - HTC One M9 Loudspeaker and Micro USB Port Assembly Replacement

    Lecture 85 146 - HTC One M9 LCD and Touch Screen Replacement

    Lecture 86 143 - HTC One M9 Rear and Front Camera Replacement

    Lecture 87 148 - HTC One M9 Battery Replacement

    Lecture 88 144 - HTC One M9 Power and Volume Buttons, Proximity Sensor and SD Card Reader R

    Lecture 89 147 - HTC One M9 Ear Speaker Replacement

    Lecture 90 105 - HTC One A9 Take Apart Repair Guide

    Lecture 91 106 - HTC 10 LCD & Touch Screen Replacement Guide

    Lecture 92 107 - HTC 10 Take Apart Repair Guide

    Lecture 93 104 - HTC One A9 LCD & Touch Screen Replacement Guide

    Lecture 94 103 - HTC One A9 Battery Replacement Guide

    Lecture 95 043 - HTC U Ultra LCD & Touch Screen Replacement Guide

    Lecture 96 045 - HTC Desire 10 Pro Take Apart Repair Guide

    Lecture 97 044 - HTC U Ultra Take Apart Repair Guide

    Lecture 98 013 - HTC U Play Take Apart Repair Guide

    Lecture 99 443 - Sprint HTC Hero Take Apart Disassembly Repair Guide

    Lecture 100 444 - HTC Aria Take Apart & Replacement Repair Guide Video

    Lecture 101 435 - HTC EVO 4G Disassembly Repair Instruction Guide

    Lecture 102 437 - HTC EVO 4G Glass Touch Screen Digitizer Replacement Repair Guide

    Lecture 103 426 - HTC G2 Glass Touch Screen Replacement Repair Instructions

    Section 6: İpad Tablet Repair Tutorials

    Lecture 104 014 - iPad 5 Rear Camera Repair Guide

    Lecture 105 015 - iPad 5 Front Camera Repair Guide

    Lecture 106 016 - iPad 5 Headphone Audio Jack Repair Guide

    Lecture 107 017 - iPad 5 Right Antenna & Left Antenna Repair Guide

    Lecture 108 025 - iPad Pro 10.5 Rear Camera and Headphone Jack Repair Guide

    Lecture 109 026 - iPad Pro 10.5 Front Camera Repair Guide

    Lecture 110 027 - iPad Pro 10.5 LCD & Touch Screen Replacement Guide

    Lecture 111 040 - iPad 5 LCD & Touch Screen Replacement Guide

    Lecture 112 052 - iPad Pro 9.7 LCD & Touch Screen Replacement Guide

    Lecture 113 150 - iPad Mini 4 LCD and Touch Screen Replacement

    Lecture 114 159 - iPad Mini 4 Take Apart Repair Guide

    Lecture 115 185 - iPad Air 2 Take Apart Repair Guide

    Lecture 116 197 - iPad Mini (Retina Display) Screen Replacement & Repair Guide

    Lecture 117 204 - iPad Air Audio_Headphone Jack Replacement

    Lecture 118 205 - iPad Air Screen Replacement Repair Guide

    Lecture 119 278 - iPad Mini Touch Screen Digitizer Replacement Directions

    Lecture 120 279 - iPad Mini Repair Guide Take Apart _ RepairsUniverse

    Lecture 121 319 - How To Fix iPad 1 LCD Screen

    Lecture 122 347 - iPad Touch Screen Assembly Replacement

    Lecture 123 368 - iPad 2 LCD Display Screen Take Apart Repair Guide

    Lecture 124 369 - iPad 2 Headhpone Jack, Power Button, WiFi Antenna Part Replacements

    Lecture 125 370 - iPad 2 Touch Screen Digitizer Replacement Guide

    Lecture 126 406 - iPad Screen Replacement & Take Apart Guide

    Section 7: Iphone Repair Tutorials

    Lecture 127 131- iPhone SE Take Apart Repair Guide

    Lecture 128 086- iPhone 7 Plus LCD & Touch Screen Replacement Guide

    Lecture 129 091- iPhone 7 Plus Take Apart Repair Guide

    Lecture 130 090- iPhone 7 Take Apart Repair Guide

    Lecture 131 085- iPhone 7 LCD & Touch Screen Replacement Guide

    Lecture 132 057- iPhone 7 Battery Repair & Replacement Guide

    Lecture 133 054- iPhone 7 Plus Battery Repair & Replacement Guide

    Lecture 134 055- iPhone 7 Plus Rear Camera Repair & Replacement Guide

    Lecture 135 028- iPhone 7 Plus Rear Case Repair & Replacement Guide

    Lecture 136 020- iPhone 7 Rear Case Replacement Guide

    Lecture 137 011- iPhone 8 Plus Take Apart Repair Guide

    Lecture 138 007- iPhone X Take Apart Repair Guide

    Lecture 139 010- iPhone 8 Take Apart Repair Guide

    Lecture 140 001- iPhone 8 Plus Screen Replacement Guide

    Lecture 141 002- iPhone 8 Plus Battery Replacement Guide

    Lecture 142 003- iPhone X Screen Replacement Guide

    Lecture 143 004- iPhone X Battery Replacement Guide

    Lecture 144 459- iPhone 2G Camera Replacement How to Repair Guide

    Lecture 145 465- iPhone Replacement Parts

    Lecture 146 458- iPhone 2G LCD Glass Touch Screen Take Apart Repair Guide

    Lecture 147 425- iPhone 4 Battery Replacement

    Lecture 148 423- iPhone 4 LCD and Glass Touch Screen Repair Video

    Lecture 149 305- iPhone 4S Back Cover Replacement how to

    Lecture 150 288- iPhone 5 Screen Repair Guide

    Lecture 151 272- Repairs Universe Reviews iPhone 3G _ 3GS Replacement Parts

    Lecture 152 227- iPhone 5S Take Apart Repair Guide (Teardown)

    Lecture 153 232- iPhone 5S Take Apart Repair Guide

    Lecture 154 226- iPhone 5C Take Apart Repair Guide (Teardown)

    Lecture 155 231- iPhone 5C Take Apart Repair Guide

    Lecture 156 221- iPhone 5S Full Reassembly Repair Guide

    Lecture 157 229- iPhone 5S Screen Repair Replacement Guide

    Lecture 158 230- iPhone 5S Battery Replacement Guide

    Lecture 159 228- iPhone 5C Screen Repair Guide

    Lecture 160 219- How to Transform your iPhone 5 to a Gold iPhone 5S

    Lecture 161 220- iPhone 5 Full Disassembly Guide

    Lecture 162 214- Repairs Universe Reviews- iPhone 5s

    Lecture 163 202- iPhone 5 Display Assembly (LCD & Touch Screen) Replacement

    Lecture 164 195- iPhone 6 Take Apart Repair Guide

    Lecture 165 194- iPhone 6 Plus Take Apart Repair Guide

    Lecture 166 167- iPhone 6s Plus Battery Repair and Replacement

    Lecture 167 165- iPhone 6s Plus LCD and Touch Screen Digitizer Repair Video

    Lecture 168 168- iPhone 6s Battery Repair and Replacement Video

    Lecture 169 156- iPhone 6s Plus Lightning Connector and Headphone Jack Repair

    Lecture 170 166- iPhone 6s LCD and Touch Screen Digitizer Repair Video

    Lecture 171 158- iPhone 6 LCD and Touch Screen Replacement

    Lecture 172 157- iPhone 6 Plus LCD and Touch Screen Replacement

    Lecture 173 155- iPhone 6s Plus Rear Camera Replacement

    Lecture 174 153- iPhone 6s Taptic Engine Replacement

    Lecture 175 154- iPhone 6s Plus Taptic Engine Replacement

    Lecture 176 152- iPhone 6s Rear Camera Replacement

    Lecture 177 151- iPhone 6s Lightning Connector and Headphone Jack Replacement

    Lecture 178 134- iPhone SE LCD and Touch Screen Replacement Guide

    Lecture 179 133- iPhone SE Battery Replacement Guide

    Lecture 180 132- iPhone SE Rear Camera Replacement Guide

    Lecture 181 286- iPhone 5 Take Apart & Repair Guide

    Lecture 182 287- iPhone 5 Battery Replacement How-to

    Lecture 183 304- iPhone 4S Battery Replacement How To

    Section 8: Lg Repair Tutorials

    Lecture 184 093 - LG Stylo 2 Take Apart Repair Guide

    Lecture 185 069 - LG V20 LCD & Touch Screen Replacement Guide

    Lecture 186 070 - LG V20 Take Apart Repair Guide

    Lecture 187 035 - LG G6 Take Apart Repair Guide

    Lecture 188 034 - LG G6 Battery Repair & Replacement Guide

    Lecture 189 033 - LG G6 LCD & Touch Screen Replacement Guide

    Lecture 190 478 - LG Xenon LCD Screen Repair Replacement Guide - GR500 Take Apart

    Lecture 191 434 - LG VU Plus GR700 LCD Screen Repair Instructional Guide

    Lecture 192 420 - LG Fathom VS750 Screen Repair & Take Apart

    Lecture 193 389 - LG Quantum C900 Glass Digitizer Replacement Take Apart Repair Guide

    Lecture 194 390 - LG Ally Take Apart Screen Repair Guide

    Lecture 195 371 - LG G2X P999 LCD Screen Replacement Video Guide

    Lecture 196 372 - LG G2X P999 Touch Screen Digitizer Replacement Take Apart Guide

    Lecture 197 343 - LG Thrill 4G Take Apart Repair Guide

    Lecture 198 312 - LG Thrill 4G Touch Screen Replacement Repair Guide

    Lecture 199 308 - How To Fix LG Spectrum LCD Screen

    Lecture 200 276 - LG MyTouch E739 Take Apart Repair Guide

    Lecture 201 265 - LG Optimus G Pro Screen Replacement Repair Guide

    Lecture 202 254 - LG Optimus G Pro Speaker Replacement Guide

    Lecture 203 266 - LG Spectrum 2 VS930 Screen Replacement Repair Guide

    Lecture 204 261 - LG Lucid 2 Screen Replacement Repair Guide

    Lecture 205 258 - LG Optimus G E970 Screen Replacement Repair Guide

    Lecture 206 252 - LG Optimus G Pro Camera Replacement Guide

    Lecture 207 253 - LG Optimus G Pro Home Button and Key Replacement Guide

    Lecture 208 249 - LG Optimus G USB Port & Keypad Flex Replacement Guide

    Lecture 209 250 - LG Optimus G Battery Replacement Guide

    Lecture 210 238 - LG Google Nexus 4 E960 Glass Back Cover Repair Video

    Lecture 211 237 - LG Optimus 4X HD Screen Replacement Repair Guide

    Lecture 212 213 - LG Optimus Vu Take Apart Repair Guide

    Lecture 213 215 - LG Optimus Vu Touch Screen Digitizer Replacement Guide

    Lecture 214 216 - LG Optimus Vu Re-Assembly Repair Guide

    Lecture 215 203 - LG G2 Screen Replacement Repair Guide

    Lecture 216 193 - LG G Flex Screen Replacement & Repair Guide

    Lecture 217 192 - LG G3 Screen Replacement & Repair Guide

    Lecture 218 190 - LG G3 Battery Replacement Guide

    Lecture 219 164 - LG G4 Take Apart Repair Guide

    Lecture 220 162 - LG Nexus 5X Take Apart Repair Guide

    Lecture 221 161 - LG V10 Take Apart Repair Guide

    Lecture 222 142 - LG G4 LCD and Touch Screen Repair Guide

    Lecture 223 140 - LG Nexus 5X LCD and Touch Screen Replacement Guide

    Lecture 224 125 - LG G5 Take Apart Repair Guide

    Lecture 225 126 - LG G Stylo Take Apart Repair Guide

    Lecture 226 124 - LG G5 LCD and Touch Screen Repair Guide

    Lecture 227 113 - LG V10 LCD & Touch Screen Replacement Guide

    Lecture 228 275 - LG Marquee Touch Screen Digitizer Replacement

    Lecture 229 280 - LG Lucid Screen Replacement Take Apart Repair

    Lecture 230 314 - LG Revolution Touch Screen Repair

    Section 9: Samsung Repair Tutorials

    Lecture 231 118 - Samsung Galaxy A8 Take Apart Repair Guide

    Lecture 232 121 - Samsung Galaxy S7 Edge Battery Replacement Guide

    Lecture 233 120 - Samsung Galaxy S7 Edge Front Camera Replacement Guide

    Lecture 234 112 - Samsung Galaxy A8 LCD & Touch Screen Replacement Guide

    Lecture 235 117 - Samsung Galaxy S7 Take Apart Repair Guide

    Lecture 236 116 - Samsung Galaxy S7 Battery and Rear Cover Replacement

    Lecture 237 100 - Samsung Galaxy Tab S2 8.0 Take Apart Repair Guide

    Lecture 238 101 - Samsung Galaxy Tab S2 8.0 LCD & Touch Screen Replacement Guide

    Lecture 239 099 - Samsung Galaxy J7 (J700) Take Apart Repair Guide

    Lecture 240 098 - Samsung Galaxy Note7 Battery Repair & Replacement Guide

    Lecture 241 097 - Samsung Galaxy J5 Take Apart Repair Guide

    Lecture 242 096 - Samsung Galaxy Note7 Take Apart Repair Guide

    Lecture 243 095 - Samsung Galaxy Note7 Charging Dock Port and Audio Jack Repair Guide

    Lecture 244 094 - Samsung Galaxy J7 (2016) Take Apart Repair Guide

    Lecture 245 080 - Samsung Galaxy J3 (2016) Take Apart Repair Guide

    Lecture 246 065 - Samsung Galaxy J7 Prime Take Apart Repair Guide

    Lecture 247 064 - Samsung Galaxy J7 Prime LCD & Touch Screen Replacement Guide

    Lecture 248 051 - Samsung Galaxy Tab 4 7.0 Battery Replacement Guide

    Lecture 249 050 - Samsung Galaxy Tab 4 7.0 LCD & Touch Screen Replacement Guide

    Lecture 250 049 - Samsung Galaxy Tab 4 7.0 Touch Screen Replacement Guide

    Lecture 251 039 - Samsung Galaxy A7 (2017) Take Apart Repair Guide

    Lecture 252 038 - Samsung Galaxy S8+ Take Apart Repair Guide

    Lecture 253 037 - Samsung Galaxy S8+ LCD & Touch Screen Replacement Guide

    Lecture 254 029 - Samsung Galaxy A5 (2017) Take Apart Repair Guide

    Lecture 255 030 - Samsung Galaxy S8 LCD & Touch Screen Replacement Guide

    Lecture 256 036 - Samsung Galaxy S8+ Battery Repair & Replacement Guide

    Lecture 257 032 - Samsung Galaxy S8 Take Apart Repair Guide

    Lecture 258 031 - Samsung Galaxy S8 Battery Repair & Replacement Guide

    Lecture 259 021 - Samsung Galaxy A3 (2017) Take Apart Repair Guide

    Lecture 260 022 - Samsung Galaxy A3 (2017) LCD & Touch Screen Replacement Guide

    Lecture 261 012 - Samsung Galaxy Note8 Take Apart Repair Guide

    Lecture 262 009 - Samsung Galaxy Note8 LCD & Touch Screen Replacement Guide

    Lecture 263 005 - Samsung Galaxy J7 Pro Take Apart Repair Guide

    Lecture 264 008 - Samsung Galaxy Note8 Battery Replacement Guide

    Lecture 265 431 - Samsung Fascinate Disassembly Screen Repair & Replacement

    Lecture 266 405 - Samsung Continuum Screen Replacement Take Apart Guide

    Lecture 267 307 - How To Fix Samsung Indulge Screen

    Lecture 268 301 - Samsung Captivate Glide Screen Repair

    Lecture 269 306 - How To Fix Samsung Gem Screen

    Lecture 270 274 - Samsung Galaxy S3 Take Apart Repair Guide

    Lecture 271 264 - Samsung Galaxy Note 8.0 Take Apart Repair Guide

    Lecture 272 242 - Samsung Galaxy S4 Screen Replacement Repair Guide

    Lecture 273 240 - Samsung Galaxy Tab 2 7 Screen Replacement Repair Guide

    Lecture 274 236 - Samsung Galaxy Note 2 Screen Repair Guide

    Lecture 275 223 - Samsung Galaxy S4 Mini Reassembly Guide

    Lecture 276 222 - Samsung Galaxy S4 Mini Take Apart Repair Guide

    Lecture 277 207 - Samsung Galaxy Mega 6.3 Screen Replacement Repair Guide

    Lecture 278 200 - Samsung Galaxy S5 Display Assembly (LCD & Touch Screen) Replacement

    Lecture 279 199 - Samsung Galaxy Note 3 N900T LCD & Touch Screen Assembly Repair

    Lecture 280 181 - Samsung Galaxy Note 4 Charging Dock Port Assembly Repair Guide

    Lecture 281 189 - Samsung Galaxy Note 4 Screen Replacement & Repair Guide

    Lecture 282 186 - Samsung Galaxy S6 Take Apart Repair Guide

    Lecture 283 175 - Samsung Galaxy S6 Edge Dock Port Assembly Repair Guide

    Lecture 284 178 - Samsung Galaxy S6 Dock Port Assembly and Home Button Repair Guide

    Lecture 285 180 - Samsung Galaxy Note 4 Rear and Front Camera Repair Guide

    Lecture 286 179 - Samsung Galaxy S6 Battery Replacement and Repair Guide

    Lecture 287 174 - Samsung Galaxy S6 Edge Screen Replacement and Repair Guide

    Lecture 288 177 - Samsung Galaxy S6 Ear Speaker and Vibrator Repair Guide

    Lecture 289 176 - Samsung Galaxy S6 Edge Battery Replacement Guide

    Lecture 290 170 - Samsung Galaxy S6 Power and Volume Buttons Repair Guide

    Lecture 291 173 - Samsung Galaxy S6 Edge Take Apart Repair Guide

    Lecture 292 171 - Samsung Galaxy S6 Rear Camera Repair Guide

    Lecture 293 172 - Samsung Galaxy S6 Front Camera Repair Guide

    Lecture 294 169 - Samsung Galaxy S6 Screen Replacement and Repair Guide

    Lecture 295 149 - Samsung Galaxy Note5 Take Apart Repair Guide

    Lecture 296 141 - Samsung Galaxy S6 Edge+ Screen Repair & Take Apart Repair Guide

    Lecture 297 122 - Samsung Galaxy S7 Edge Take Apart Repair Guide

    Section 10: iPod Repair Tutorials

    Lecture 298 119 - iPod Touch 6th Gen Take Apart Repair Guide

    Lecture 299 283 - iPod Touch 5th Generation Screen Replacement Guide

    Lecture 300 448 - iPod Touch Reassembly Repair Guide - 3rd Gen

    Lecture 301 429 - iPod Touch Take Apart & Screen Repair - 4th Gen

    Lecture 302 422 - iPod Nano Screen Replacement Repair Guide - 6th Gen

    Lecture 303 282 - iPod Nano 7th Generation Screen Replacement Repair Guid

    Section 11: Motorola Repair Tutorials

    Lecture 304 042 - Motorola Moto G5 Plus Take Apart Repair Guide

    Lecture 305 041 - Motorola Moto G5 Plus LCD & Touch Screen Replacement Guide

    Lecture 306 439 - Motorola Droid A855 Repair Guide Take Apart

    Lecture 307 438 - Motorola Droid A855 Glass Touch Screen Digitizer Repair Instructions

    Lecture 308 411 - Motorola Droid X LCD Screen Replacement Repair Instructions

    Lecture 309 407 - Motorola Atrix 4G LCD Screen Replacement Take Apart Guide

    Lecture 310 408 - Motorola Atrix 4G Touch Screen Digitizer Replacement Repair

    Lecture 311 351 - Motorola Triumph Screen Replacement Repair Guide

    Lecture 312 346 - Motorola Atrix 2 Take Apart Repair Guide

    Lecture 313 342 - Motorola Droid Razr Take Apart Repair Guide

    Lecture 314 325 - Motorola Droid X2 Take Apart Repair Guide

    Lecture 315 328 - Motorola Xoom Take Apart Repair Guide

    Lecture 316 324 - Determine Touch Screen Version for Motorola Droid X2

    Lecture 317 317 - How To Fix Motorola Droid Bionic LCD Screen

    Lecture 318 297 - Motorola Droid 3 Screen Replacement Repair Guide

    Lecture 319 295 - How To Fix Motorola Droid 3 Touch Screen Digitizer

    Lecture 320 294 - How to Fix Motorola Droid 4 Screen

    Lecture 321 251 - Motorola Atrix HD Screen Replacement Repair Guide

    Lecture 322 243 - Motorola Droid Razr HD Ear Speaker & Front Camera Replacement Guide

    Lecture 323 247 - Motorola Droid Razr HD Battery Replacement Guide

    Lecture 324 244 - Motorola Droid Razr HD Rear Camera Replacement Guide

    Lecture 325 233 - Motorola Moto X Take Apart Repair Guide

    Lecture 326 224 - Motorola Droid Razr HD Screen Replacement Repair Guide

    Lecture 327 211 - Motorola Photon Q Take Apart Repair Guide

    Lecture 328 209 - Motorola Photon Q Battery Replacement Guide

    Lecture 329 198 - Motorola Moto G Display Assembly (LCD & Touch Screen) Repair

    Lecture 330 187 - Motorola Nexus 6 Battery Replacement Guide

    Lecture 331 188 - Motorola Nexus 6 Take Apart Repair Guide

    Lecture 332 183 - Motorola Moto G (2nd Gen) Take Apart Repair Guide

    Lecture 333 114 - Motorola Moto G4 Plus Take Apart Repair Guide

    Lecture 334 115 - Motorola Moto G4 Plus Battery Replacement Guide

    Lecture 335 111 - Motorola Moto G4 Take Apart Repair Guide

    Lecture 336 110 - Motorola Moto G4 Battery Replacement Guide

    Lecture 337 089 - Motorola Moto Z Droid Take Apart Repair Guide

    Lecture 338 092 - Motorola Droid Turbo 2 Take Apart Repair Guide

    Lecture 339 088 - Motorola Moto Z Droid LCD & Touch Screen Replacement Guide

    Lecture 340 087 - Motorola Moto Z Droid Battery Repair & Replacement Guide

    Lecture 341 078 - Motorola Droid Turbo 2 Battery Repair & Replacement Guide

    Lecture 342 047 - Motorola Moto E3 Power Take Apart Repair Guide

    Those who want to start their own business, who want to know repair and move further

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  4. #5154
    Super Moderator
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    Yoga Program for Emotions Management



    Yoga Program For Emotions Management
    Published 6/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 5.24 GB | Duration: 4h 1m

    Antidepressant Holistic Therapies


    What you'll learn
    Heightened Emotional awareness
    Ability to clearly identify your inner state
    Ability to manage your emotions
    Ability to shift your inner state to the desired state
    Ability to connect with your emotions
    A state of inner peace, mental clarity, open heart
    Techniques for releasing stagnant energies in the body
    Techniques for improving focus
    Breath work exercises
    Meditations
    Himalayan Kundalini techniques
    Requirements
    No previous experience required.

    Description
    An antidepressant yoga program, which brings together different holistic therapies, which will teach you how to connect with your emotions and how to manage your emotions, so that you can become the person you wish to be and achieve the life you dream of. Emotions are the ones that paint our inner state and guide our behaviors and actions. When we experience anxiety, stress, depression, loneliness and other negative emotions for a long time, we need to act at all levels of the human being to heal. It is recommended to work with a therapist or psychologist, to discover and understand the causes and roots of our problems, but it is not enough to work only mentally. The human being is an integrative one, mind, body, emotions, spirit, and we need to act and heal all its parts.This yoga program will address the emotional body, the physical body, the energy body and the spiritual body. We will work at each level to cleanse the stagnant emotions and energies and we will learn how to access states of well-being, peace, love, connection and happiness, through ancient yogic techniques, like:- meditations- breathwork- kundalini/kriya practices- chanting- deep relaxation- dance for emotional release- tapping- body awareness exercises- hatha yoga
    Overview
    Section 1: Introducere
    Lecture 1 Introduction
    Lecture 2 Emotions Awareness Meditation
    Lecture 3 Awareness of Breath
    Lecture 4 Calming the Nervous System
    Lecture 5 Energy Cleanse - Kriya practices
    Lecture 6 Body Awareness Yoga Flow
    Lecture 7 Awakening inner Joy
    Lecture 8 Tapping & Chanting
    Lecture 9 Emotional release through Dance
    Lecture 10 Yoga Nidra - Yogic Sleep
    Lecture 11 Closing
    People who seek clarity of their emotions, clarity of the mind, who want to increase their emotional intelligence and ability to manage their own emotions, people who seek to personally develop.,Yogis,People who want to heal holistically.,People who seek an extra support in their healing process.

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  5. #5155
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    Leadership & Management Skills: Become A Super Leader



    Leadership & Management Skills: Become A Super Leader
    Last updated 6/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 15.33 GB | Duration: 12h 1m

    10 Leadership Courses In 1: Develop High-Level Leadership & Management Skills (Taught By World Leading Experts)


    What you'll learn
    Develop High-Level Leadership & Management Skills
    Practical Strategies, Tools & Techniques To Help You Become A Successful Leader
    Motivate & Inspire Your Team
    Acquire Effective Communication Skills
    Maximize The Potential & Performance Of Your Team
    Challenge The Status Quo & Implement Change
    Build A Strong Company Culture
    Grow Your Business & Maximize Your Profits
    Manage Virtual & Hybrid Teams Effectively
    Become An Agile Leader
    Introduce Agile To Your Team & Use It To Create A Culture Of Openness & Growth
    Use Agile As A Project Management Method
    Identify Areas Of Growth & Set Growth Strategies Into Action
    Increase Productivity & Efficiency Using Goal Setting
    Integrate Long Terms Goals Into Day To Day Business
    Create A Comprehensive Remote Onboarding Program For Your Company
    Set Performance Expectations & Goals For New Employees
    Provide Effective Feedback Personally & Professionally
    Tips, Tools & Techniques For Giving Feedback
    Requirements
    No specific requirements.

    Description
    WELCOME TO THE ULTIMATE LEADERSHIP & MANAGEMENT SKILLS COURSE!This is a complete leadership & management skills course that is comprised of 6 independent courses:The 8 Leadership Traits For SuccessBusiness CultureBusiness Leadership To Increase ProfitsBusiness Leadership To Motivate TeamsBusiness & Profit GrowthManaging And Working In Virtual & Hybrid TeamsAgile LeadershipGoal Setting For Leaders & ExecutivesRemote Onboarding For New HiresGiving FeedbackAMONG A LONG LIST OF THINGS, HERE IS WHAT YOU ARE GOING TO LEARN:The 8 Traits Of Being A Great LeaderHow To Role Model Your Company ValuesHow To Communicate Openly & HonestlyHow To Inspire Your PeopleHow To Own Your MistakesHow To Make The Right DecisionsHow To Recognise Your PeopleHow To Care For Your PeopleKey Ingredients For Creating A Winning CulturePrinciples Of The 'UBER Culture' MethodologyProven, Practical Strategies And Tactics To Improve Your CultureHow To Shine And Excel As A 3D LeaderHow To Challenge The 'Status Quo', Disrupt And Make Change HappenThe Steps You Need To Take To Improve Your Leadership EffectivenessCreate Enviable Levels Of Engagement In Your Team That Improve Productivity & Profits'Situational Leadership' - How To Adapt Your Leadership Style To Suit The SituationHow To Provide Constructive Feedback To OthersHow To Deal With 'Problem Performers'How To Build In Feedback Loops To Measure And Manage PerformancePractical Tools To Get Everyone In Your Team Profit FocusedProven, Practical Strategies And Tactics To Improve ProfitabilityUnderstand The Dynamics Of Virtual And Hybrid TeamsUnderstand Efficient Uses Of Virtual TechnologyLearn Important Remote Presenting TechniquesMaintain Motivation And Drive In Virtual TeamsMonitor And Manage Issues Of Health, Efficiency & MoraleBecome An Agile LeaderIntroduce Agile To Your Team & Create A Culture Of Openness And GrowthUse Agile As A Project Management MethodThe Best Practices When Setting Goals For Business Success Increase Productivity & Efficiency Using Goal SettingCreate A Comprehensive Remote Onboarding Program For Your CompanyDesign Meaningful & Collaborative Learning Experiences For New HiresSet Performance Expectations & Goals For New Employees Using The 30 60 90 Day PlanHow To Give Feedback Both Personally & ProfessionallyTips, Tools & Techniques To Help You Give Feedback In A Meaningful And Effective WayTHIS COURSE IS TAUGHT BY THE WORLD'S LEADING EXPERTS ON THE SUBJECTS OF LEADERSHIP, MANAGEMENT, BUSINESS & COMMUNICATION:1) Debra Corey:Debra Corey is a highly experienced and award-winning HR leader, consultant, instructor, world-class speaker, three-time author, and was named one of the top 101 global employee engagement influencers.Over the last 20+ years she's worked for a variety of global companies where she's developed and delivered HR strategies and programs in a rebellious way, pushing the boundaries and challenging the status quo to truly drive employee engagement and support workforces.2) Andy Hanselman:Andy Hanselman helps businesses, leaders and teams create competitive advantage by 'Thinking in 3D'! That means being 'Dramatically and Demonstrably Different'! He has over 30 years researching, working with, and learning from successful disruptive and forward-thinking entrepreneurial businesses and their leaders and is a recognised expert on business competitiveness.Andy is the author of 3 books (currently writing his 4th!) and loves sharing real insights into how these 3D Leaders create committed, motivated and effective people at every level. He brings these lessons to life by speaking at events, conferences, workshops and seminars around the world.He has worked with a huge cross-section of businesses and sectors and has worked with businesses as wide-ranging as Tommy Hilfiger, Asda, B Braun, NHS, Universities and colleges, Vigor Enterprises Kuwait, Specsavers, Pallex, Grant Thornton, Jelf, Santander, Travelex, Mobile Mini and Ronseal and thousands of small and medium-sized growing, entrepreneurial businesses.3) Alan Stevens:Alan is a reputation expert who was Past President of the Global Speakers Federation and is the director of MediaCoach. He is also an author and journalist, and both a TV presenter and expert interviewee. He has been speaking remotely since 1998. His clients include politicians, TV presenters and sports stars as well as companies including Virgin, Google, The Beverly Hills Hotel, BMW and Mumm Champagne. The Independent newspaper listed him as "one of the top 10 media experts in the UK".Click The 'Enroll Now' Button To Get Started!
    Overview
    Section 1: THE ALL-IN-ONE BUSINESS LEADERSHIP COURSE
    Lecture 1 Course #1: The 8 Leadership Traits For Success
    Lecture 2 Course #2: Business Culture
    Lecture 3 Course #3: Business Leadership To Maximize Performance & Profits
    Lecture 4 Course #4: Business Leadership To Motivate Teams
    Lecture 5 Course #5: Business & Profit Growth
    Lecture 6 Course #6: Managing & Working In Virtual And Hybrid Teams
    Lecture 7 Course #7: Agile Leadership
    Lecture 8 Course #8: Goal Setting For Leaders & Exectives
    Lecture 9 Course #9: Remote Onboarding For New Hires
    Lecture 10 Course #10: Giving Feedback
    Section 2: COURSE #1: THE 8 LEADERSHIP TRAITS FOR SUCCESS
    Lecture 11 Introduction
    Lecture 12 Role Model Your Company Values
    Lecture 13 Communicate Openly & Honestly
    Lecture 14 Inspire Your People
    Lecture 15 Own Your Mistakes
    Lecture 16 Recognise Your People
    Lecture 17 Make The "Right" Decisions
    Lecture 18 Trust Your People
    Lecture 19 Care For Your People
    Lecture 20 Final Tips & Action Plan
    Section 3: COURSE #2: BUSINESS CULTURE
    Lecture 21 Creating An UBER Culture
    Section 4: UBER CULTURE: WHAT IS IT ALL ABOUT?
    Lecture 22 What Exactly Is Culture And Why Bother?
    Lecture 23 What Influences Your Culture?
    Lecture 24 What's Your Culture?
    Section 5: UBER CULTURE: THE KEY INGREDIENTS
    Lecture 25 The Principles Of UBER Culture
    Section 6: EVERYONE UNDERSTANDS
    Lecture 26 Value Your Values
    Lecture 27 How To Establish Your Values
    Lecture 28 Create The Behaviours You Want
    Lecture 29 Make It Work For You
    Section 7: BUILD SYSTEMS AND PROCESSES
    Lecture 30 What It Looks Like
    Lecture 31 Review & Establish Your Processes
    Section 8: ENGAGE, EMPOWER & ENABLE YOUR PEOPLE
    Lecture 32 The Key Steps
    Lecture 33 Get It Right In Your Business
    Section 9: RECOGNISE AND REWARD
    Lecture 34 Making Rewards & Recognition Work For You
    Lecture 35 How To Make It Work For You
    Section 10: CREATING YOUR UBER PLAN
    Lecture 36 A Quick Recap
    Lecture 37 Creating Your Plan & Your Next Steps
    Section 11: COURSE #3: BUSINESS LEADERSHIP TO MAXIMIZE PERFORMANCE & PROFITS
    Lecture 38 Introduction
    Lecture 39 What Do Successful Businesses Have & Do? How Does Your Business 'Measure Up'?
    Section 12: THE PRINCIPLES OF 3D LEADERSHIP
    Lecture 40 What Exactly Is 'Leadership'?
    Lecture 41 3D Leadership
    Section 13: 3D LEADERSHIP CHARACTERISTIC #1: PURPOSE, PASSION & PERFORMANCE
    Lecture 42 What Exactly Is A 'Vision' & Why Bother?
    Lecture 43 Establish Your Vision
    Lecture 44 Keeping It Alive
    Section 14: 3D LEADERSHIP CHARACTERISTIC #2: VALUE YOUR VALUES
    Lecture 45 What's The Value Of Values
    Lecture 46 Establishing Your Values
    Lecture 47 Living Your Values
    Section 15: 3D LEADERSHIP CHARACTERISTIC #3: GO FOR WALKS
    Lecture 48 'Strategic Thinking': What It Is, Why Bother & How To Do It
    Lecture 49 Strategic Thinking' In Action: Tools & Techniques To Make It Work For You
    Section 16: 3D LEADERSHIP CHARACTERTISTIC #4: DISRUPT & CHALLENGE THE STATUS QUO
    Lecture 50 The Leader As Disrupter: Making Innovation Work
    Section 17: MOVE YOURSELF FORWARD AS A LEADER
    Lecture 51 Developing Your Own 3D Leadership Development Plan
    Section 18: COURSE #4: BUSINESS LEADERSHIP TO MOTIVATE TEAMS
    Lecture 52 Introduction
    Lecture 53 What Do We Want From Our People & How Can We Make It Happen?
    Section 19: EMPLOYEE ENGAGEMENT - WHAT EXACTLY IS IT?
    Lecture 54 What Exactly Is It & How Can You Measure It?
    Lecture 55 Engaging For Results: Making It Work For You
    Section 20: 3D LEADERSHIP CHARACTERISTIC #5: ENGAGE, EMPOWER & ENABLE OTHERS
    Lecture 56 What 'Motivates' People?
    Lecture 57 The Barriers To People Maximising Their Performance
    Lecture 58 The Human Assets Framework
    Lecture 59 Maximising Individual Performance & Potential
    Section 21: 3D LEADERSHIP CHARACTERISTIC #6: CONNECT & COLLABORATE
    Lecture 60 Collaboration: The Why's & Wherefores
    Lecture 61 Making Collaboration Work For You: Who Should/Could You Collaborate With?
    Section 22: 3D LEADERSHIP CHARACTERISTIC #7: USE YOUR INTELLIGENCE
    Lecture 62 Use Your Intelligence & Establish KPIs
    Section 23: 3D LEADERSHIP CHARACTERISTIC #8: LEARN & GET BETTER
    Lecture 63 How We Learn
    Lecture 64 Learning In Action
    Section 24: MOVE YOURSELF FORWARD AS A LEADER
    Lecture 65 The 3D Leadership Development Plan & How To Use It
    Lecture 66 Your Next Steps
    Section 25: COURSE #5: BUSINESS & PROFIT GROWTH
    Lecture 67 Introduction
    Lecture 68 Maximising Your Profitability: Some Do's & Don'ts
    Lecture 69 The 10 Common Barriers To Maximising Profitability
    Lecture 70 What Successful Profit-Focused Businesses Have & Do
    Section 26: CREATING A PROFIT FOCUS IN YOUR TEAM
    Lecture 71 Why Doesn't It Happen?
    Lecture 72 Practical Ideas To Make It Happen
    Lecture 73 Developing Your Action Plan
    Section 27: THE 5 ROUTES OF PROFITABILITY
    Lecture 74 What Are Your Options?
    Lecture 75 How To Use The Model
    Section 28: ROUTE 1: REDUCE YOUR COSTS
    Lecture 76 Review Overheads & Costs
    Lecture 77 Getting Your Suppliers To Add Value
    Section 29: ROUTE 2: PUT UP YOUR PRICES
    Lecture 78 Discount Discounting
    Lecture 79 Some Pricing Options
    Section 30: ROUTE 3: IMPROVE EFFICIENCIES
    Lecture 80 Increase Your 'Value Added Per Hour'
    Lecture 81 Reduce The Cost Of Waste
    Section 31: ROUTE 4: SELL MORE TO EXISTING CUSTOMERS
    Lecture 82 Increase The Value Of Purchases
    Lecture 83 Increase The Frequency Of Purchases
    Section 32: ROUTE 5: CREATE NEW CUSTOMERS
    Lecture 84 Develop Existing Markets
    Lecture 85 Develop New Markets
    Section 33: DEVELOP YOUR OWN ROUTE TO PROFITABILITY
    Lecture 86 Review Your Options & Develop Your Profit Improvement Plan
    Section 34: MOVING THINGS FORWARD
    Lecture 87 Your Next Steps
    Section 35: COURSE #6: MANAGING & WORKING IN VIRTUAL & HYBRID TEAMS
    Lecture 88 Introduction
    Lecture 89 Understanding Where You're At
    Section 36: ORGANISATION: HOW TO SET UP & STRUCTURE A VIRTUAL TEAM
    Lecture 90 How To Set Up And Structure A Virtual Team
    Lecture 91 What Are The Key Skills Required?
    Lecture 92 How Can Reporting Structures Work?
    Lecture 93 What Are The Differences From Having A Team On-site?
    Lecture 94 What Management Style Works Best?
    Section 37: TECHNOLOGY: MINIMUM REQUIREMENTS
    Lecture 95 What Are The Minimum Software Functions For Virtual Working?
    Lecture 96 How To Evaluate Different Systems
    Lecture 97 Technical Requirements
    Lecture 98 Use Of Green Screens
    Lecture 99 Back-Channels
    Lecture 100 The Importance Of Local And Cloud Backups
    Section 38: VIRTUAL PRESENTING
    Lecture 101 How To Present Through A Camera For Maximum Effect
    Lecture 102 Pace, Tone & Vocabulary
    Lecture 103 Camera, Lighting & Microphone Positioning
    Lecture 104 Use Of Visuals
    Lecture 105 The Importance Of 'Chunking' Content
    Lecture 106 Use Of Interactivity
    Section 39: MOTIVATION: HOW TO MAINTAIN MORALE & DRIVE
    Lecture 107 Regular Check-ins
    Lecture 108 Looking For Signs Of De-motivation & How To Address Them
    Lecture 109 Focusing On Output, Not Time Put In
    Lecture 110 The Importance Of Recognition
    Lecture 111 Social Time & Connection For The Team
    Section 40: MEASUREMENT: HOW TO CHECK THAT TEAM MEMBERS ARE PERFORMING
    Lecture 112 What To Measure, How To Measure It
    Lecture 113 Public & Private Feedback
    Lecture 114 Reviews & Appraisals At A Distance
    Lecture 115 Fitting The Measurement To The Individual
    Section 41: HYBRID TEAMS: OFFICE-BASED & HOME-BASED MEMBERS WORKING TOGETHER
    Lecture 116 How To Build A Hybrid Team
    Lecture 117 Creating Trust & Harmony
    Lecture 118 Reporting & Communication
    Lecture 119 Hybrid Meetings & Presentations
    Lecture 120 The Importance Of Occasional Physical Meetings For All
    Section 42: HEALTH & SAFETY: PHYSICAL & MENTAL HEALTH ISSUES
    Lecture 121 Environmental Factors
    Lecture 122 Physical Factors
    Lecture 123 Mental Health Issues Related To Solo Working
    Section 43: RESOLVING PROBLEMS: MANAGING FOR SUCCESS
    Lecture 124 Warning Signs
    Lecture 125 Catching Problems Early
    Lecture 126 Is Remote Working For Everyone?
    Lecture 127 How To Create A Motivated, Efficient & Happy Team
    Section 44: CONCLUSION
    Lecture 128 SUMMARY & CONCLUSION
    Section 45: COURSE #7: AGILE LEADERSHIP
    Lecture 129 Introduction
    Section 46: INTRODUCING AGILE LEADERSHIP
    Lecture 130 What Is Agile?
    Lecture 131 Reflect On The Principles Of Agile
    Lecture 132 Agile Mindset
    Lecture 133 What Does It Mean To Be An Agile Business?
    Section 47: WHY AGILE?
    Lecture 134 What Makes Agile Successful?
    Lecture 135 What Makes An Agile Leader?
    Lecture 136 Setting Leadership Goals
    Section 48: BUILD YOUR AWARENESS
    Lecture 137 Discovering Your Traits
    Lecture 138 Finding Your Strengths
    Lecture 139 Emotional Intelligence
    Section 49: DEVELOP YOUR IDEAS
    Lecture 140 Persuasion And Influence
    Lecture 141 Handling Conflict
    Lecture 142 Cultural Agility
    Lecture 143 Designing An Agile Dream Team
    Section 50: MAKE A COMMITMENT
    Lecture 144 Introducing Agile To An Existing Team
    Lecture 145 Collaboration
    Lecture 146 Enabling Others
    Lecture 147 Your 90-day Agile Leadership Plan
    Lecture 148 Course Summary
    Section 51: COURSE #8: GOAL SETTING FOR LEADERS & EXECUTIVES
    Lecture 149 Introduction
    Lecture 150 How Goal Setting Affects Your Outcomes And Successes
    Lecture 151 Defining Success: What Does Success Mean To You?
    Section 52: SETTING GOALS FOR SUCCESS
    Lecture 152 Analysing Your Current Situation
    Lecture 153 Making Sure Goals Align With Purpose
    Lecture 154 How To Organise And Categorise Your Goals For Maximum Productivity
    Section 53: GOALS IN ACTION
    Lecture 155 Integrating Goals Into Your Business: Tools, Techniques & Software
    Lecture 156 Reviewing & Optimising Goals
    Section 54: COURSE #9: REMOTE ONBOARDING FOR NEW HIRES
    Lecture 157 Introduction
    Lecture 158 The Scope Of Onboarding In A Remote Workplace
    Lecture 159 Why Onboarding Is An Essential Practice In A Remote Workplace
    Lecture 160 Popular Questions About Remote Onboarding
    Lecture 161 Activity 1
    Section 55: THE ESSENTIAL ELEMENTS OF GOOD REMOTE ONBOARDING
    Lecture 162 What New Employees Need When They Join A Remote Workplace
    Lecture 163 How Remote Working Impacts Onboarding
    Lecture 164 Best Practices For Successful Remote Onboarding
    Lecture 165 Getting Started With Your Remote Onboarding Program
    Lecture 166 Activity 2
    Section 56: KICKSTARTING LEARNING FOR NEW HIRES
    Lecture 167 Pre-boarding - Remote Onboarding Element #1
    Lecture 168 Designing Learning Experiences For New Hires
    Lecture 169 Activity 3
    Section 57: ENCOURAGING CONNECTIONS & BUILDING RELATIONSHIPS AT WORK
    Lecture 170 Social Onboarding - Remote Onboarding Element #2
    Lecture 171 Connecting And Learning From Others
    Lecture 172 Creating A Collaborative Experience Through Onboarding
    Lecture 173 Activity 4
    Section 58: SETTING UP NEW EMPLOYEES FOR PRODUCTIVITY & SUCCESS
    Lecture 174 First Assignments - Remote Onboarding Element #3
    Lecture 175 Setting Performance Expectations And Goals
    Lecture 176 Coaching For High Performance
    Lecture 177 Activity 5
    Section 59: TRANSITIONING FROM ONBOARDING & MEASURING SUCCESS
    Lecture 178 Ongoing Support - Remote Onboarding Element #4
    Lecture 179 Measuring Onboarding Success
    Lecture 180 Creating A Remote Onboarding Action Plan For A New Employee
    Section 60: COURSE #10: GIVING FEEDBACK
    Lecture 181 Introduction
    Lecture 182 5 Reasons Why Feedback Is Important
    Lecture 183 5 Reasons We Don't Give Feedback
    Lecture 184 4 Situations To Give Feedback In
    Lecture 185 4 Styles For Giving Feedback
    Lecture 186 4 Ways To Prepare To Give Feedback
    Lecture 187 The 6-Step Model For Giving Feedback
    Lecture 188 7 Final Tips For Giving Feedback
    Entrepreneurs,Managers,Supervisors,Team Leaders,Professionals Seeking Promotion,Professionals At All Levels & In All Roles,Anyone Who Wants To Develop High-level Managerial Skills.

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    Ccnp Security - Svpn 300-730 Part 3/3



    Ccnp Security - Svpn 300-730 Part 3/3
    Last updated 6/2021
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 6.46 GB | Duration: 12h 13m

    Covers IKEv2 - FLEXVPN , REMOTE VPN



    What you'll learn
    Implementing Secure Solutions with Virtual Private Networks v1.0 (SVPN 300-730) is a 90-minute exam associated with the CCNP Security Certification.
    Tests a network security engineer on the variety of Virtual Private Network (VPN) solutions that Cisco has available on the Cisco ASA firewall and Cisco IOS software platforms.
    This exam tests a candidate's knowledge of implementing secure remote communications with Virtual Private Network (VPN) solutions including secure communications, architectures, and troubleshooting.
    The course, Implementing Secure Solutions with Virtual Private Networks, helps candidates to prepare for this exam.
    Implementing Site to Site IPSEC VPN on Routers & ASA
    Implementing DMVPN on Cisco Routers
    Implementing FlexVPN with IKEv2 on Cisco Routers
    Implementing Remote Access VPN - CIsco Routers & ASA
    Troubleshooting VPNs using ASDM and CLI
    Understand VPN Secure Communications Architecture
    Requirements
    CCNA Routing and Switching Knowledge
    Knowledge Basic Network Security Concepts (preferred)

    Description
    This is the Last part of the 3 Parts for new CCNP SECURITY Concentration Exam SPVN-300-730 covers topics in 3 Parts as given belowPart 1 - CryptoGraphy Concepts , VPN FOundations, IPSEC, Site to Site IPsec VPNPart 2 - covers DMVPN Concepts & IPSec over DMVPN , Part 3 - IKEv2 Focusses on Remote Access VPN on ASA and Routers.FlexVPN ====Available February 24, 2020: Updates to the CCNP certification and training programOn February 24, 2020, Cisco will release new certification exams. New training will roll out over the next several months.If you have started working toward the current CCNP Security certification, keep going. In the new program, you'll receive credit for work you've already completed.======Implementing Secure Solutions with Virtual Private Networks (SVPN 300-730)This exam tests your knowledge of implementing secure remote communications with Virtual Private Network (VPN) solutions, including:Secure communicationsArchitecturesTroubleshootingTo earn CCNP Security, you pass two exams: a core exam and a concentration exam of your choice. The core exam, Implementing and Operating Cisco Security Core Technologies v1.0 (SCOR 300-701), focuses on your knowledge of security infrastructure including network security, cloud security, content security, endpoint protection and detection, secure network access, visibility, and enforcement. You can prepare for this exam by taking the training course, Implementing and Operating Cisco Security Core Technologies (SCOR).Concentration exams focus on emerging and industry-specific topics such as Cisco Firepower, identity services, email security, web security, VPNs, and automation. You can prepare for concentration exams by taking corresponding Cisco training courses.

    Overview

    Section 1: IPSEC - IKEv2

    Lecture 1 IPSEC IKEv2

    Lecture 2 IKEv1 vs IKEv2

    Lecture 3 IKEv2 - PHASE 1 SA_INIT_AUTH

    Lecture 4 IKEv2 - PHASE 2 - CHILD SA

    Lecture 5 IKEv2 Platform Support

    Lecture 6 IKEv2 Supported VPNs

    Section 2: IKEv2 Site-to-Site VPN

    Lecture 7 IKEv2 Site-to-Site VPN - Lab Setup

    Lecture 8 IKEv2 Site-to-Site VPN - Proposals

    Lecture 9 IKEv2 Site-to-Site VPN -Policy

    Lecture 10 IKEv2 Site-to-Site VPN -KEYRING

    Lecture 11 IKEv2 Site-to-Site VPN -Profile

    Lecture 12 IKEv2 Site-to-Site VPN -IPSEC

    Lecture 13 IKEv2 Site to Site VPN - Verification

    Section 3: FLexVPN

    Lecture 14 FLexVPN - IKEv2

    Lecture 15 FLexVPN - Capabilities

    Lecture 16 FLexVPN - Platform Support

    Section 4: FlexVPN Site to Site VPN

    Lecture 17 FlexVPN Site to Site VPN - CryptoMaps

    Lecture 18 FlexVPN Site to Site VPN - Static VTI - PART 1

    Lecture 19 FlexVPN Site to Site VPN - Static VTI - PART 2

    Lecture 20 FlexVPN Site to Site VPN - Static VTI - PART 3

    Section 5: FLEXVPN - HUB and SPOKE Tunnels

    Lecture 21 FlexVPN HUB-SPOKES tunnels

    Lecture 22 FlexVPN - Dynamic VTI

    Lecture 23 FlexVPN Hub-SPOKE Tunnels - PART 1

    Lecture 24 FlexVPN Hub-SPOKE Tunnels - PART 2

    Lecture 25 FlexVPN Hub-SPOKE Tunnels - PART 3

    Lecture 26 FlexVPN Hub-SPOKE Tunnels - PART 4

    Section 6: IKEv2 Authorization Policy

    Lecture 27 FlexVPN Authorization

    Lecture 28 FlexVPN HUB-SPOKE Routing Issues - Solutions

    Lecture 29 IKEv2 Authorization Policy - Configuration - PART 1

    Lecture 30 IKEv2 Authorization Policy - Configuration - PART 2

    Section 7: FlexVPN - Spoke to Spoke Tunnels

    Lecture 31 FlexVPN - Spoke to Spoke Tunnels

    Lecture 32 FlexVPN - Spoke to Spoke Tunnels - Configuration Overview

    Lecture 33 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 1

    Lecture 34 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 2

    Lecture 35 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 3

    Lecture 36 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 4

    Lecture 37 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 5

    Lecture 38 FlexVPN - Spoke to Spoke Tunnels - Configuration -PART 6

    Lecture 39 NHRP Role in FlexVPN

    Section 8: SSL VPN Overview

    Lecture 40 Remote Access VPN

    Lecture 41 What is SSL-TLS

    Lecture 42 How SSL-TLS Works

    Lecture 43 What is SSL VPN

    Lecture 44 SSL VPN - Modes

    Section 9: ASDM - Lab Setup Remote VPN

    Lecture 45 ASDM - Adaptive Security Device Manager

    Lecture 46 ASDM Configuration

    Lecture 47 ASDM - GNS3 Setup - PART 1

    Lecture 48 ASDM - GNS3 Setup - PART 2

    Lecture 49 Remote VPN - Lab Setup

    Section 10: SSL Clientless VPN - Configuration

    Lecture 50 SSL Clientless VPN - Configuration - PART 1

    Lecture 51 SSL Clientless VPN - Configuration - PART 2

    Lecture 52 SSL Clientless VPN - Configuration - Verification with ASDM

    Lecture 53 SSL Clientless VPN - Configuration - Setup Wizard

    Lecture 54 Default Group Policy - Connection Profiles

    Lecture 55 New Group Policy - Connection Profiles

    Lecture 56 New USER - Assign Group Policy

    Section 11: Bookmarks - GROUP URL - ALIAS

    Lecture 57 SSL VPN - Bookmarks

    Lecture 58 BookMarks - with FQDN - DNS

    Lecture 59 Tunnel Group- ALIAS

    Lecture 60 Tunnel Group- ALIAS - LAB 2

    Lecture 61 Tunnel Group- URL Access

    Section 12: SSL VPN - Port Forwarding

    Lecture 62 SSL VPN - Port Forwarding

    Lecture 63 Port Forwarding - Configurations

    Lecture 64 Port Forwarding - Configuration Example 2

    Lecture 65 Port Forwarding - Configuration Example 3

    Section 13: Smart Tunnels - SSL VPN

    Lecture 66 Port Forwarding - Limitations

    Lecture 67 Smart Tunnels - SSL VPN

    Lecture 68 Smart Tunnels - Configuration Pre-Requisite

    Lecture 69 Smart Tunnels - Configuration

    Section 14: Full Client SSL VPN - Anyconnect

    Lecture 70 SSL VPN - Tunnel Modes

    Lecture 71 SSL VPN Tunnel Mode - Configuration PART 1

    Lecture 72 SSL VPN Tunnel Mode - Configuration PART 2

    Lecture 73 Anyconnect Install - Verify SSL VPN

    security engineer,Network Engineers

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    Makeup Artistry Basic To Masterclass , Online Makeup Course



    Makeup Artistry Basic To Masterclass , Online Makeup Course
    Last updated 2/2022
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 8.15 GB | Duration: 6h 36m

    Daily make up and evening makeup on different skin tones, eye shapes & face shape, online makeup courses , Makeup artist


    What you'll learn
    Apply a day to evening Make Up on Yourself and later on your Clients with different Facial Features flawlessly and correct
    Masterclass : Learn the latest Make Up looks ! From Soft Decent to Dramatic, Glamorous, Oriental & Bridal Looks on international models
    Skin types & how to prepare and prime the perfect Base for every skin
    Foundation Matching : Find the correct Foundation shade for your clients Skin Tone & know everything about the different Foundation types
    Color Theory & How to use it correctly to make your Make Up Looks, look harmonious on every Face!
    Get to know the exisiting different Eyeshapes and learn to enhance them correctly to make them stand out even more!(Eyeliner on Hooded,Downturned,Monolids etc.)
    Determine Face shapes correctly & know how to sculpt them while Highlighting & Contouring
    Clients Consultation : How to meet your Clients Expectations
    Be a professional at what you do & start a Makeup career
    Requirements
    There are no requirements other than having a simple make up kit with brushes and desirable would be a dose of passion ;)
    Models ( Friends , Family ) to practice your skills on ,if you desire to challenge your make up skills

    Description
    Have you always been searching the practical answer on how to apply Makeup to Clients with different Skin colors, Skin types & Facial Features in Make-Up Classes but only got taught the Theory?Then I'd like to WELCOME you to this course which was passionately created by me for YOU!Back then as a Beginner in Make Up Artistry, I myself was in search of a course that could teach me the basics as detailed, informative, and structured as possible, that I could attend wherever and whenever I wanted! But the most important was that I could actually learn from step-by-step instructions and understand every taken step. Sounds really simple but it was not at that time. So I had to make my own experiences and go through many barriers to master the skills I own today and here I am, confident enough to introduce myself as your Online Teacher! All I want for you is to take the shortcut by benefiting from my knowledge and experience ALL in ONE Package, Plus get to study the same Makeup Artistry Content that is taught in expensive schools & workshops for a reasonable price!In this course, you are going to learn Makeup Artistry from A to Z!Starting with the Basics: We learn about topics like Sanitation & Hygiene, Color Theory, Skin Preparations & Primers, everything about Foundations (Skin Undertones, Coverage & Usage, etc. ), Brushes guidelines, Clients Consultation, Makeup preparations & appointments, etc.Getting your hands warmed up: Enhancing your own beauty by learning the basic application techniques of Highlighting & Contouring, creating a Natural Eye Makeup Look, Shaping Eyebrows, Applying False Lashes, etc.You are already advanced & just want to gain experience on how to apply different Makeup Techniques/ Looks on real-life Clients with different Facial Features?You're at the right place as well!Leveling Up: Time to apply our fresh new skills on different Facial Features, Skin Types & Skin Shades!Now to the most important question: What makes this course different from its Competitors?You don't just watch, you just do it because Makeup is Art and Art needs to be done. You study and practice. Do you have a question? You contact me and we explore answers and master them together.We challenge ourselves. We learn about different Eye and Face shapes, different Skin Shades, and Different Skin Types and it won't be only in theory. I will demonstrate each step to different types of clients.We are an active community and push each other to achieve more & turn our passion into our career.What will you be able to do at end of this Course?In the end, you will be confident enough to start your own Makeup career the way you always wanted it: Professional & High-Quality.
    Overview
    Section 1: Introduction
    Lecture 1 Introduction : Makeup Artistry from Basic to Masterclass
    Lecture 2 Make Up Foreword & Motivation
    Section 2: Sanitation & Hygiene
    Lecture 3 Personal Hygiene
    Lecture 4 Brush Hygiene
    Lecture 5 Product Contamination
    Lecture 6 Contraindications & how to deal with them
    Lecture 7 Product Expiry
    Lecture 8 Make Up Kit Hygiene
    Lecture 9 Sum Up
    Section 3: Brushes Introduction & Application
    Lecture 10 Intro & Must- Have Brushes for your Make Up Starter Kit
    Lecture 11 The Different Kind of Eye Blending Brushes
    Lecture 12 The Different Kind of Foundation Brushes
    Section 4: Make Up appointment & Peparations
    Lecture 13 How to prepare for a professional & organized Make Up appointment
    Section 5: Color Theory & Color Correcting
    Lecture 14 Intro: Color Theory in Make Up Artistry
    Lecture 15 Understanding the Pocket Color Wheel
    Lecture 16 Warm and Cool based Colors & the meaning of Complementary Colors
    Lecture 17 Why do we Color Correct?
    Lecture 18 Correcting Dark Eye Circles on different Skin Tones
    Lecture 19 Correcting other Surface Tones : Redness & Dullness
    Section 6: Skin prep & Primers
    Lecture 20 Begin with the Skin
    Lecture 21 Intro : What are Primers ?
    Lecture 22 An Overview of the main different Primers
    Lecture 23 Silicon Based Primers : A Good or Bad Choice for the skin?
    Lecture 24 Alternative to a Primer?
    Lecture 25 How to Prepare & Prime common skintypes : Dry/ Dehydrated & Combinational/Oily
    Section 7: Foundation Matching
    Lecture 26 The first Step before Foundation Matching
    Lecture 27 Introducing the Undertones
    Lecture 28 What is a Surface Tone?
    Lecture 29 How to determine the Undertone visually
    Lecture 30 Foundation Matching : Striping Method
    Section 8: Foundation: Different Coverages , Textures & Finishes
    Lecture 31 The Different Foundation Coverages
    Section 9: Foundation Application
    Lecture 32 How to apply Foundation correctly
    Section 10: Concealer Application
    Lecture 33 Concealer's Purpose & Tools to apply
    Lecture 34 The Correct Concealer Application
    Lecture 35 The Term : "Baking" in Make Up Artistry
    Section 11: Highlight & Contour
    Lecture 36 Intro : What is the Purpose of Highlighting & Contouring ?
    Lecture 37 The Steps you need to take & The different Face Shapes
    Lecture 38 Highlight & Contour EVERY Face Shape easily
    Lecture 39 Products : Which Texture & Shade ?
    Lecture 40 Tools
    Lecture 41 Practice Time : Master the Highlight & Contour Game!
    Section 12: Blush Application
    Lecture 42 Blush : A pop of Color for a more healthy looking Face
    Section 13: Eye Make Up : Everyday Eye Make Up Look
    Lecture 43 The Different Parts of the Eyes & How to apply Eye Products on them
    Lecture 44 Tools for perfect Application + Shade & Texture of Eyeshadows
    Lecture 45 Practice Time : Flawless Eye Make Up Application
    Section 14: Eyeliner Application
    Lecture 46 Intro Eyeliner : What to avoid ( Do's & Dont's)
    Lecture 47 An Overview of the different Eyeliner Products
    Lecture 48 The Different Eyeshapes
    Lecture 49 Practice Time : Basic & Winged Eyeliner Application
    Lecture 50 Recommendations & Tips
    Section 15: Mascara Application
    Lecture 51 The correct Mascara Application
    Section 16: False Lashes
    Lecture 52 How to apply False Lashes correctly
    Section 17: Eyebrow Application
    Lecture 53 Determining the Shape of the Eyebrows
    Lecture 54 Different Eyebrow Products, different Applications
    Lecture 55 Practice Time : Eyebrow Application with a Brow Pomade
    Lecture 56 Practice Time 2 : Eyebrow Application with a Brow Pencil
    Section 18: Lip Product Application
    Lecture 57 Intro : Lip Product Application & How to Prep & Prime the Lips
    Lecture 58 Which Lip Shade & Texture to Choose
    Lecture 59 Practice Time : Apply the Perfect Red Lips + Strobe
    Section 19: Clients Consultation & How to Manage your Business
    Lecture 60 Finding out the suitable Make Up look for your Client
    Lecture 61 The Definition of a "Natural Look" to you and your Clients
    Lecture 62 Analayzing the Clients Facial Features
    Lecture 63 Build a good Clientelle
    Lecture 64 Create your own Price-List
    Lecture 65 Manage your Bookings
    Section 20: Apply your Skills & Level Up: Welcome to the Master Make Up Class Section
    Lecture 66 Consultation & Meeting with your Client
    Lecture 67 Foundation Matching : on Neutral Light Skin Undertone
    Lecture 68 Skin Prep & Prime on a dry Skintype
    Lecture 69 Halo Eye Make Up Look on Round, heavy Lidded Eyeshapes
    Lecture 70 Correct Light Blemishes, Apply Foundation , Highlight & Contour Long Face Shape
    Lecture 71 Applying Bronzer & Blush
    Lecture 72 Creating the Perfect 3D Glow Effect: For lifted Cheekbones area
    Lecture 73 Shaping & Filling in Eyebrows with Gaps
    Lecture 74 Creating Nude Brown Ombre Lips & the Final Results
    Section 21: Day to Evening Make Up Look on Dark Complexions
    Lecture 75 Intro Course Content: Focus of this Lesson
    Lecture 76 Foundation Matching on dark Complexions : Lets find the Correct shade (Mixing)
    Lecture 77 Skin Prep & Prime for Combinational Skin ( Oily/ Dehydrated)
    Lecture 78 Day Eye Make Up Look on Small Upturned Eye Shape
    Lecture 79 Color Correcting Hyperpigmentation/ Spots on dark Skin Colors
    Lecture 80 Highlight & Contour : Oblong Face Shape with short Chin part
    Lecture 81 Apply Warmth, Color & Glow on dark Complexions
    Lecture 82 Make Big Lips appear Smaller & Final Results of Day Make Up Look
    Lecture 83 Transform Day to Night: Nightout Eye Make Up Look
    Lecture 84 Touch Ups : Another method to make Lips appear smaller & Final Results
    Section 22: Glamorous Make Up Look on Asian Model
    Lecture 85 Intro Course Content : Focus of this Lesson
    Lecture 86 Monolid & Close-Set Eyeshapes : How to Enhance them with Eyeshadow
    Lecture 87 Monolid Eyeshapes : Apply Eyeliner
    Lecture 88 Triangular Face Shape : Soft Highlight & Contour
    Lecture 89 Asian Nose : Creating a Prominent Nose Bridge
    Lecture 90 Touch Up & Final Results
    Section 23: Golden Brown Half Cut Crease Eye Make Up Look on a fair Model
    Lecture 91 Intro Course Content : Focus of this Lesson
    Lecture 92 Downturned Eyeshapes : Create bright & flattering Eyes
    Lecture 93 Color Correct Redness & Cover large-scale Freckles
    Lecture 94 Round Face Shape : Highlight & Contour
    Lecture 95 Filling in Brows with Brow Pomade & applying Cherry Red Lipstick & Final Results
    Section 24: Makeup on South Asian Model
    Lecture 96 Intro Course Content : Focus of this Lesson
    Lecture 97 Foundation Mixing & Matching on Medium Dark Skin Colors
    Lecture 98 Skin Prep & Prime: Dry Skin
    Lecture 99 Round Upturned Eyeshapes Makeup Application
    Lecture 100 Round Upturned Eyeshapes : Apply Eyeliner & Lashes
    Lecture 101 Color Correct on Medium dark Skin Tones
    Lecture 102 Square Face Shape : Highlight & Contour
    Lecture 103 How to Contour a Wide Nose
    Lecture 104 Apply Bronzer, Blush & Glow on medium dark Skin Colors
    Lecture 105 How to Correct Wide-apart & Thin Eyebrow Shapes
    Lecture 106 Perfect Pumpkin Nude Shade for Medium dark Skin Tones
    Lecture 107 Setting Spray & Final Results
    Section 25: Day to Evening Make Up on South European Model with Tanned Skin
    Lecture 108 Intro Course Content : Focus of this Lesson
    Lecture 109 Foundation Matching on Neutral Warm ( Tanned) Skin Tone
    Lecture 110 Skin Prep & Prime on Combinational/Oily Skintype
    Lecture 111 Soft Pink Eye Make Up Look for Daytime
    Lecture 112 Color Correct Dark Circles around the Eyes
    Lecture 113 Rectangle Face Shape : Highlight & Contour
    Lecture 114 How to apply Bushy Brows & Final Results of Daytime Look
    Lecture 115 The Night Out Eye Make Up Transformation
    Lecture 116 Final Touch Ups & Results for the Evening Make Up Look
    Section 26: Day to Evening Make Up for Wearer Of Glasses
    Lecture 117 Intro Course Content : Focus of this Lesson
    Lecture 118 Slightly Hooded Eyeshapes : How to apply Eyeliner correctly
    Lecture 119 Skin Prep & Prime : Very Dry Skintype
    Lecture 120 Brighten Up & Enhance The Eyes of Wearer of Glasses
    Lecture 121 How to Prevent Red Marks That Glasses Leave Behind & giving back Structure
    Lecture 122 Creating a dewy Look , Applying Brow Mascara & Lip Gloss & Final Results Day
    Lecture 123 Evening Make Up : Sparkly, Glittery Eye Make Up Look & smudgy Burgundy Eyeliner
    Section 27: Smokey Eyeliner with Bordeaux & Rose Gold Eyeshadow Shades
    Lecture 124 Intro Course Content : Focus of this Lesson
    Lecture 125 Skin Prep & Prime on Acne Prone/Sensitive Skin
    Lecture 126 Deep-Set Eyeshapes: How to enhance them beautifully
    Lecture 127 Color Correcting & Evening out the Skin
    Lecture 128 Inverted Triangle Face Shape : Highlight & Contour
    Lecture 129 Applying Depth ,Pop of Colour & Glow on problematic Skin
    Lecture 130 Tatooed Eyebrows : How to make the Eyebrow shade looking freshly pigmented again
    Lecture 131 Apply Matte Warm Pink Nude Lipstick
    Lecture 132 Set the Make Up & Final Results
    Section 28: NEW UPDATE: Classic Smokey Eye Makeup Look
    Lecture 133 Skin Prep & Prime on Combinational T-Zone to dry Cheek area
    Lecture 134 Application of Smokey Eye Makeup Look
    Lecture 135 Highlight & Contour Rectangle Face Shape
    Lecture 136 Last Touch Ups to Complete The Makeup : Setting, Bronzer, Blush,Highlighter etc.
    Section 29: NEW UPDATE Ros?gold Eye Makeup Look
    Lecture 137 Intro & Skincare Products Recommendations for Acne Prone+ Sensitive Skin Types
    Lecture 138 Ros?gold Eye Makeup Application
    Lecture 139 Individual Lashes Application
    Lecture 140 Color Correcting & Foundation Application on Acne Prone Skin
    Lecture 141 Slim Oval Face Shape : Contouring & Highlight
    Lecture 142 Eyebrow Application on Natural, full and well shaped Brows
    Lecture 143 Overlining Lips naturally
    Lecture 144 Results & Ending
    Section 30: NEW UPDATE: DIY Bridal Hair & Makeup
    Lecture 145 Preparing Your Skin
    Lecture 146 Beginner Friendly Eyeshadow & Eyeliner application
    Lecture 147 Great Mascara Technique For Natural Defined Lashes
    Lecture 148 Natural False Lashes Application
    Lecture 149 How To Prepare Your Under Eye Area For A Non-Creasing Concealer Application
    Lecture 150 How To Achieve Non-Cakey Foundation Results
    Lecture 151 Natural Concealer Application On Dark Eye Circles
    Lecture 152 A Soft And Natural Highlight & Contour Application
    Lecture 153 How To Achieve A Radiant Complexion
    Lecture 154 The Important Steps to Natural Looking Brows
    Lecture 155 Longlasting Lipstick Result Tips
    Lecture 156 Set The Makeup & Final Words
    Section 31: Get your Certificate ( digital or hard copy ) issued by Hajar Beauty Academy
    Lecture 157 Get your Certificate by Hajar Beauty Academy
    Make Up Beginners who want to learn how to apply Makeup on themselves or on others,Advanced Self Taught Artists who aim to work more professional with clients & learn how to apply different looks on different faces,Experienced Make Up Artist who are looking for the latest Make up looks & Inspiration

    Code:
    https://anonymz.com/?https://www.udemy.com/course/makeup-artistry-from-basic-to-masterclass/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/361d2634bd7f741a05f388f1e552f52f/Makeup_Artistry_Basic_to_Masterclass_Online_Makeup_Course.part1.rar
    https://rapidgator.net/file/84ae87ada47da7d80bbc2c72b808f5c7/Makeup_Artistry_Basic_to_Masterclass_Online_Makeup_Course.part2.rar
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    Code:
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    https://k2s.cc/file/16cfdd47de97f/Makeup_Artistry_Basic_to_Masterclass_Online_Makeup_Course.part2.rar
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    https://k2s.cc/file/3313f4109cb54/Makeup_Artistry_Basic_to_Masterclass_Online_Makeup_Course.part5.rar

  8. #5158
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    May 2019
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    Build 10 real world apps with Flutter



    Build 10 real world apps with Flutter
    Published 06/2022
    Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
    Language: English | Size: 9.15 GB | Duration: 139 lectures • 12h 11m



    What you'll learn
    Basic widgets in flutter
    Building a game in flutter
    Implementing sound effects
    Working with apis
    Dealing with images
    Different state managements
    Provider , riverpod and bloc
    Getx package
    Web scraping in flutter
    Text to speech functionality
    Local sqlite database for app
    Firebase database
    Firebase storage bucket
    Working with timers in flutter
    Grouped listviews
    UI / UX Design
    Requirements
    Basic knowledge about Flutter and Dart
    Flutter , Dart and IDE installed
    Good Internet Connection and a Laptop

    Description
    You have learned flutter and want to gain practical experience ? You wanna add up some awesome flutter apps to your resume ? Then this is the perfect course for you .
    In this course we are gonna build 10 real world apps from beginner to advanced level. starting from a basic bill split app to advancing to a complex news reader app using tts and apis. Furthermore we will cover lots of different topics like basic widgets, working with timer in flutter, retro themes, sound effects , text to speech ,image filtering and e.t.c.
    And not to forget, we will also use a new state managements every time, starting from normal setState to provider, riverpod, bloc ,rxdart and getx. One more cool thing we are gonna learn is how to implement web scraping in flutter easily which is rare. Then of course we are also gonna work a lot with apis, sending data to a api, or also receiving data back . And at last , we will also work with databases, starting from a local sqlite database to using a firebase server.
    So as you can see, this is a big exciting course covering lots of things and gaining practical knowledge. In each section you will always learn something new. Detailed explanations and previews of the apps are available for you to have a brief look
    Who this course is for
    Flutter devs who want to gain practical knowledge in flutter
    People who want to build real world apps
    Learnes who want to learn different kind of topics in flutter

    Code:
    https://anonymz.com/?https://www.udemy.com/course/build-10-real-world-apps-with-flutter/


    Download from RapidGator
    Code:
    https://rapidgator.net/file/47f179f36e6ed15eaaca7a9592e6b080/Build_10_real_world_apps_with_Flutter.part1.rar
    https://rapidgator.net/file/c94a6b8fa359283729a4675d8f9364e0/Build_10_real_world_apps_with_Flutter.part2.rar
    https://rapidgator.net/file/924f2dc29a32231edad5f6818bd94453/Build_10_real_world_apps_with_Flutter.part3.rar
    https://rapidgator.net/file/25fab844bbbbafdd211a12de751a0dba/Build_10_real_world_apps_with_Flutter.part4.rar
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    Code:
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    https://k2s.cc/file/0e9c63da58372/Build_10_real_world_apps_with_Flutter.part2.rar
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    https://k2s.cc/file/c7b999626793d/Build_10_real_world_apps_with_Flutter.part5.rar

  9. #5159
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    May 2019
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    CBTNuggets - Architecting Google Cloud Solutions



    CBTNuggets - Architecting Google Cloud Solutions
    Released 14/06/2022
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English | Duration: 45 Lessons (7h 15m) | Size: 9.3 GB



    This intermediate Google Cloud Solutions training prepares learners to plan, deploy, and manage Google Cloud solutions that suit your organization's needs - whether compute, storage, or network

    Google is without a doubt one of the largest suppliers of cloud solutions and services in the world. Whether your company needs a containerization solution like Kubernetes Engine or a storage solution like Cloud Storage and Persistent Disk, Google Cloud has you covered.
    Without proper knowledge of your business and infrastructure needs, it'll be difficult to know how Google Cloud services can help your organization. With this training, you can learn about Google Cloud's capabilities and how your organization can leverage them to transform your business in innovative ways.
    After finishing the videos in this How to Architect Google Cloud Solutions training, you'll know how to plan, deploy, and manage Google Cloud solutions that suit your organization's needs - whether compute, storage, or network.
    For anyone with cloud engineers on their team, this Google Cloud training can be used to onboard new cloud engineers, curated into individual or team training plans, or as a Google Cloud reference resource.
    How to Architect Google Cloud Solutions: What You Need to Know
    This How to Architect Google Cloud Solutions training covers Google cloud topics including
    Setting up network-wide Google accounts
    Planning solutions that use Google's compute, storage, and network services
    Incorporating Google solutions into existing architecture
    Deploying Google solutions for networking, data, compute, and Kubernetes
    Who Should Take How to Architect Google Cloud Solutions Training?
    This How to Architect Google Cloud Solutions training is considered professional-level Google Cloud training, which means it was designed for cloud engineers. This Google cloud skills course is designed for cloud engineers with three to five years of experience with cloud technologies.
    New or aspiring cloud engineers. If you're a new or aspiring cloud engineer, this Architecting Google Cloud Solutions training can help you understand the tools available to you within the Google Cloud Platform and how they can be used to solve complex business problems. And you can carry those tools with you throughout your career.
    Experienced cloud engineers. If you're a cloud engineer with years of experience, this training can validate what you already know and help fill in potential knowledge gaps. Maybe your organization primarily uses compute and storage services, leaving you unfamiliar with networking services and proper migration strategies. This Google Cloud training will address those gaps and teach you what you need to know in order to architect cloud solutions that make sense for your business.

    Code:
    https://anonymz.com/?https://www.cbtnuggets.com/it-training/google-cloud/architecting-cloud-solutions


    Download from RapidGator
    Code:
    https://rapidgator.net/file/e13dc7dc49ecbf9daeb1b7eaa5b13772/Architecting_Google_Cloud_Solutions.part1.rar
    https://rapidgator.net/file/6d33d8cff3db9260e87e167dcf535189/Architecting_Google_Cloud_Solutions.part2.rar
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    Code:
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    https://k2s.cc/file/49d2b09672655/Architecting_Google_Cloud_Solutions.part5.rar

  10. #5160
    Super Moderator
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    May 2019
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    MasterClass - Amanda Gorman Teaches Writing and Performing Poetry



    MasterClass - Amanda Gorman Teaches Writing and Performing Poetry
    Released 06/2022
    MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
    Genre: eLearning | Language: English + Subs | Duration: 14 Lessons (3h 28m) | Size: 9.3 GB



    Award-winning Youth Poet Laureate Amanda Gorman teaches you how to harness the power of poetry to become a more thoughtful, compassionate person

    Bestselling author. Electrifying performer. The youngest inaugural poet in U.S. history. Amanda Gorman has revitalized poetry as a unifying form of expression and catalyst for social justice. Now she's teaching you her deeply personal approach to writing. She'll help you find your poetic purpose, fight through revisions, and prepare for performance. Discover poetry's transcendent power to open minds and create change.

    Code:
    https://anonymz.com/?https://www.masterclass.com/classes/amanda-gorman-teaches-writing-and-performing-poetry


    Download from RapidGator
    Code:
    https://rapidgator.net/file/a237c7f5dd92941a8e7d00cb5cb5efaa/Amanda_Gorman_Teaches_Writing_and_Performing_Poetry.part1.rar
    https://rapidgator.net/file/622218ee8bbe1ce8b49da89d220422d7/Amanda_Gorman_Teaches_Writing_and_Performing_Poetry.part2.rar
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    Download from Keep2Share
    Code:
    https://k2s.cc/file/51795c63de6f7/Amanda_Gorman_Teaches_Writing_and_Performing_Poetry.part1.rar
    https://k2s.cc/file/5699b5d9be3c6/Amanda_Gorman_Teaches_Writing_and_Performing_Poetry.part2.rar
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    https://k2s.cc/file/985e2a051ab4b/Amanda_Gorman_Teaches_Writing_and_Performing_Poetry.part5.rar

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