HTML, CSS, JavaScript, ReactJS, NodeJS from zero to Expert
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HTML, CSS, JavaScript, ReactJS, NodeJS from zero to Expert
Last updated 4/2024
Created by Ismail cenk karacakaya
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 180 Lectures ( 59h 22m ) | Size: 30 GB
Become a Full-Stack Web Developer with just ONE course.HTML, CSS, JavaScript, Node, React and a big production grade app
What you'll learn:
HyperText Markup Language.
Cascading style sheets.
JavaScript
Reactjs.
Nodejs.
Object Oriented Programming.
A production grade application you can use as your portfolio project from scratch.
Master backend development with Node.
Work as a freelance web developer.
Master frontend development with React.
How to create clean an reusable code and code refactoring.
Requirements:
No programming experience needed - I'll teach you everything you need to know.
A computer with access to the internet.
No paid software required.
I'll also walk you through, step-by-step how to get all the software installed and set up.
Description:
Whether you're a beginner or an experienced developer looking to expand your skillset, this course provides a solid foundation and hands-on experience in building modern web applications.Note that the production grade application we will create in this course is unlike anything you have ever seen. After learning how to create an application like this, you will be ready to understand and implement top applications used worldwide.Course Overview:HTML: Learn Hypertext Markup Language (HTML) for structuring web pages. Dive into semantic HTML to create well-organized and accessible web content. Master HTML5 features for multimedia, forms, and semantic elements and many more.CSS Styling and Layout: Explore Cascading Style Sheets (CSS) for styling and layout design. Understand CSS selectors, properties, and units for precise control over styling. Dive into responsive design principles and techniques for creating adaptable layouts across devices.JavaScript Learn Modern JavaScript Features. Explore functions, scope, and closures for writing modular and reusable code. Understand asynchronous programming and the event loop in JavaScript. Explore techniques for fetching data from APIs, handling errors, and managing a database code effectively. Learn arrow functions, template literals, destructuring, spread/rest operators, and other ES6 features and many more. Learn DOM manipulation.React.js: Get introduced to React.js, a powerful JavaScript library for building user interfaces. Learn about components, state, redux, and props to create reusable and interactive UI elements. Explore React Router for client-side routing and managing navigation in single-page applications.Node.js Backend Development: Learn server-side development with Node.js, a runtime environment for executing JavaScript code. Learn about Express.js, a minimalist web framework for Node.js, for building robust and scalable server applications. Understand RESTful API design principles and implement CRUD operations for interacting with data.Database: Learn how to create and Interact with databases using MongoDB NoSQL/SQL database.Security: Learn about middleware, authentication, and security best practices for Node.js applications.Hands-On Project: Apply your knowledge through a huge production grade project that covers all the tools you need for your portfolio website, instead of creating many useless projects, I will show you how top companies create their applications.Real-World Examples: Explore real-world examples and case studies to understand how these technologies are used in industry-standard applications.Expert Guidance: Benefit from guidance and support from a world class experienced instructor who is passionate about web development and committed to your success.
Who this course is for:
If you want to start your own startup by building your own websites and web apps.
If you want to take ONE COURSE and learn everything you need to know about web development, take this course.
To get a job as a backend developer.
To get a job as a frontend developer.
Code:
https://anonymz.com/?https://www.udemy.com/course/html-css-javascript-reactjs-nodejs-from-zero-to-expert/
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Siemens NX Mastery : 500 Examples|20 Project|300 Q&A|10 Test (updated 3/2024)
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Siemens NX Mastery : 500 Examples|20 Project|300 Q&A|10 Test
Last updated 3/2024
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 61h 55m | Size: 33.7 GB
Learn Siemens NX with this perfectly designed course created after live interaction with 1000s of students in classroom
What you'll learn
You will gain a solid understanding of the most used features of Siemens NX by Pros.
Work independently on any Design in any version of Siemens NX
Learn from an Author who is an Industrial Expert and mentor with Over 50 years of Experience
Make any complex Designs easily using a combination of tools as shown in Examples & Exercises
Pass any NX job interview easily with our Quiz of 300 Questions
Practice a series of perfectly curated projects to showcase in your resume
Workbenches included: Sketcher, Part Design, Assembly Design, Drafting, Surface Design, Sheet metal, Animation, Analysis
Requirements
A Computer loaded with any version of Siemens NX
Description
Ongoing Update: February'2024
Addition of Lectures on 500 Examples with solutions videos for practicing 3D modeling
Further Upcoming Updates
March' 2024
Addition of 20 Assembly projects along with the solution videos
300 Quiz Questions
20 Projects
10 Tests
April ' 2024
Addition of lectures on Latest version of Siemens NX i.e NX 2306
May' 2024
We are in the process of producing lectures on the following workbenches of NX
Sheet Metal Design
Animation
Stress Analysis
CNC Programming
In this "Complete Siemens NX Express Training" program you will experience a unique successful method of teaching developed and experimented on 1000's of students in live sessions. This course is designed for individuals who are new to Siemens NX as well as the students who had learned Siemens NX long time ago and just want a brush up on the tools and features quickly and use in their projects immediately.
This course introduces the tools of Siemens NX in a step by step process which will enable you to clearly understand the application of the tools under discussion before starting the next tool.
Major Highlights of The Course
Includes all the Basics for learning Siemens NX from scratch
About 500 Examples including the solutions and drawings ready for download
20 Projects to practice assemblies
300 Quiz Questions and answers
10 Assignments for preparing to pass Machine test interviews in various industries
All the Drawings practiced in the Lectures are included in this course for download.
At the end of each section, you will encounter a quiz related to the section which will further broaden your understanding in the related section.
This course has been designed using Siemens NX 11 version and we are currently upgrading the course to include practise on latest version of Siemens NX software i.e NX 2306.
Taught by a professional team headed by Mr. S. N. S. Roy who is the Chief Course Designer with an experience of almost 50 years of in Engineering Design and Product Development.
A beginner can start practicing the tools right from lecture one
A Professional brushing up Siemens NX can easily directly jump to the section of their choice.
This course has been designed such that you can learn any other high-end 3D CAD modeling software package easily using the concepts that you will learn in this course.
Still, if you don't like the course then you can ask for a refund.
The course contains modules using which the student can learn the following workbenches of CATIA
Sketcher
Part Design
Surface Design
Assembly Design
Drafting
Sheet Metal Design (Upcoming)
Animation (Upcoming)
Stress Analysis (Upcoming)
CNC Programming (Upcoming)
If You Only Buy ONE Course This Year It GOT To Be This One!
With over 13 hours of video content, 155 lectures, downloadable resources, bonuses and quizzes - this is one of the most comprehensive Siemens NX courses available!
You'll also get access to
Lifetime Access to course updates
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Quiz to Test Your Knowledge!
Students Absolutely Love This Course! Just see the reviews below.
Jyoti Ranjan ( Rating: 5 out of 5)
Excellent course, worth every penny and yes it's a perfect match as this is what I am searching for, very convincingly explained & very easy to understand.. Guy's you must get this course, highly recommended..
Rama Krishna (Rating: 5.0 out of 5)
It's a great course in this price. Being a mechanical engineer it's a great boost in my knowledge. Thank you Sir.
Swarnalata Panda (Rating: 5.0 out of 5)
It's a wonderful course to be frank. The content, the teaching style of the instructor all are best.
Sivakumar Palanisamy (Rating: 5.0 out of 5)
Excellent, Perfectly matched for my level, the instructions are very clear and simply perfect thanks a lot..
and many more awesome reviews and 5 star ratings.
With 49% 5 stars and 39% 4 stars ratings; the Average course rating stands at an awesome 4.3 stars and this is going to increase with new reviews to come thanks to our constant updates throughout the lifetime of the course
We have a 30-day 100% money back guarantee, so there s no reason to hesitate!
Join Today and learn Siemens NX the easy way.
I will see you inside the course.
Who this course is for
Student with no prior knowledge in any modeling software
Beginners in Seimens NX who want to learn it quickly
People who knew Siemens NX earlier but have forgotten and want to refresh in a very short time
Anyone who communicates through technical drawings and representation as a part of their study or work.
Working Professionals looking to upgrade their skills
Homepage
Code:
https://www.udemy.com/course/complete-siemens-nx-express-training/
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Code:
https://nitroflare.com/view/FE7EA3C49BF9B33/Siemens_NX_Mastery__500_Examples20_Project300_Q%26A10_Test.part1.rar
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ChatGPT Revolutionize Communication with Conversational AI
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ChatGPT: Revolutionize Communication with Conversational AI
Published 6/2024 MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch Language: English | Duration: 50h 31m | Size: 27.5 GB
Explore the fundamentals of ChatGPT, mastering techniques to create advanced, interactive conversational AI applications
What you'll learn
Understand the Fundamentals of ChatGPT and Conversational AI
Implement ChatGPT in Practical Scenarios
Optimize Productivity with ChatGPT
Integrate ChatGPT with Other Tools and Platforms
Develop Advanced Data Analysis Skills Using ChatGPT
Apply ChatGPT in Specialized Domains
Leverage ChatGPT for Creative and Marketing Purposes
Requirements
Enthusiasm and determination to make your mark on the world!
Description
A warm welcome to the ChatGPT: Revolutionize Communication with Conversational AI course by Uplatz.What is ChatGPT?ChatGPT is a type of artificial intelligence (AI) developed by OpenAI. It's designed to understand and generate human-like text based on the input it receives. "GPT" stands for "Generative Pre-trained Transformer," which is a kind of neural network model that is pre-trained on a vast amount of text data. This training allows ChatGPT to understand context, generate coherent responses, and perform a variety of language-based tasks.How Does ChatGPT Work?ChatGPT works by using a transformer architecture, which processes input text by breaking it down into smaller parts (tokens) and analyzing the relationships between them. Here's a simplified overview of its operation:Pre-training: During this phase, the model is trained on a large dataset of text from the internet. It learns grammar, facts about the world, and some reasoning abilities.Fine-tuning: After pre-training, the model is fine-tuned on a narrower dataset with human reviewers following specific guidelines. This helps refine its responses to be more helpful and aligned with human expectations.Generation: When you input a prompt, ChatGPT generates a response by predicting the next word (or token) in a sequence, considering the context provided by the previous tokens. It continues this process until it produces a complete and coherent response.Key Features of ChatGPTNatural Language Understanding: It can comprehend and generate text that is contextually relevant and coherent.Versatility: ChatGPT can perform a wide range of language tasks, including writing essays, answering questions, providing explanations, and engaging in conversation.Scalability: It can be fine-tuned for specific applications, making it adaptable to various industries and uses.Interactive: It can engage in multi-turn conversations, maintaining context over the course of the dialogue.Customizable: Developers can tweak its responses to align with specific brand voices or industry needs.Benefits of Learning ChatGPTEnhanced Communication: Mastering ChatGPT can help improve automated customer service, making interactions more efficient and user-friendly.Innovation in Applications: With skills in ChatGPT, you can create innovative applications in fields like education, healthcare, entertainment, and more.Career Advancement: Knowledge of ChatGPT and AI can open up job opportunities in the tech industry, particularly in roles focused on AI development and deployment.Efficiency: Using ChatGPT can streamline tasks such as content creation, data analysis, and virtual assistance, saving time and resources.Personalization: It enables the development of personalized user experiences, enhancing user engagement and satisfaction.By learning how to use and implement ChatGPT, individuals and businesses can leverage advanced AI capabilities to improve processes, develop new products, and enhance interactions with technology.ChatGPT - Course CurriculumIntroduction to ChatGPTExploring ChatGPT Role in Communication and CreativityCommon Use Cases of ChatGPTSetting up ChatGPT and Practical Use CasesUnderstanding Conversational AIBest ChatGPT Prompts to Automate your WorkIntegrating ChatGPT with other ToolsUsing ChatGPT in Microsoft ExcelUsing ChatGPT for Conditional Formatting & Pivot Tables in ExcelSQL using ChatGPTSQL and Excel Macros using ChatGPTUsing ChatGPT for Advanced SQL and FAANG Interview QAsPower BI Basics using ChatGPTAdvanced Visualizations in Power BI using ChatGPTUsing ChatGPT in PythonIntroduction to Customizing ChatGPT-4Using ChatGPT in Power Apps and Power AutomatePower Automate Use Cases and using ChatGPT in Customer ServiceApplication of ChatGPT in Customer ServiceApplication of ChatGPT in EducationUnderstanding CRMs using ChatGPTProject Management Optimization with GPT-4Using ChatGPT for Prompt EngineeringUsing Custom GPTs for Advanced PromptingFinancial Planning and Analysis with ChatGPT-4Content Creation and Marketing using ChatGPTUsing ChatGPT for HealthcareGPT-4 for Retail - Understanding Customer BehaviorReal Estate Market Analysis with ChatGPTEnvironmental Research and Conservation with ChatGPTUsing GPT-4 as a Personal AssistantOptimizing your Day with GPT-4Using ChatGPT for Daily Task ManagementUsing ChatGPT-4 Advanced Features for ProductivityMaximizing Efficiency with ChatGPT-4 and Challenges & SolutionsGPT-4 in Gaming - Creating Dynamic NarrativesUsing GPT-4 for Event Planning and ManagementUsing GPT-4 for Recipe Development and Home CookingUsing GPT-4 for Content Creation and StorytellingGPT-4 in Legal Services Document Analysis and ResearchUsing ChatGPT-4 for SalesUsing GPT-4 for Social Media Content and ManagementUsing GPT-4 for Fitness and NutritionUsing GPT-4 for Mental Health and Well-beingUsing GPT-4 for Career Coaching and Personal DevelopmentUsing GPT-4o for Creative Writing and PoetryUsing GPT-4 for Research and Academic AssistanceUsing GPT-4 for Custom GPTs and DALL-EUsing GPT-4 for Entrepreneurial and Startup AssistanceUsing GPT-4 for Exploring Emerging Technologies & Innovations
Who this course is for
Anyone aspiring for a career in AI and Generative AI related fields
Beginners and newbies wishing to learn ChatGPT and apply it at their work
Business Professionals
Data Analysts and Scientists
Data Engineers
Developers and Programmers
Product Managers
Marketing and Content Creators
Educators and Students
Healthcare and Fitness Professionals
Project Managers and CRM Specialists
Entrepreneurs and Startups
Legal and Financial Professionals
Creative Writers and Artists
Environmental Researchers and Conservationists
Say Thank You
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Build 75 Powerful Data Science & Machine Learning Projects
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Build 75 Powerful Data Science & Machine Learning Projects
Last updated 4/2024
Duration: 73h 37m | Video: .MP4, 1920x1080 30 fps | Audio: AAC, 48 kHz, 2ch | Size: 38.7 GB
Genre: eLearning | Language: English
Build & Deploy Data Science, Machine Learning, Deep Learning (Python, Flask, Django, AWS, Azure, GCP, Heruko Cloud)
What you'll learn
Understand the full product workflow for the machine learning lifecycle.
Implement Machine Learning Algorithms, Learn how to improve your Machine Learning Models
Real life case studies and projects to understand how things are done in the real world
Make robust Machine Learning models, Master Machine Learning on Python
Explore how to deploy your machine learning models.
Clean your input data to remove outliers
Know which Machine Learning model to choose for each type of problem
Build a portfolio of work to have on your resume
Requirements
Basic knowledge of machine learning
Description
In This Course, Solve Business Problems Using Data Science Practically.
Learn To Build & Deploy Machine Learning, Data Science, Artificial Intelligence, Auto Ml, Deep Learning, Natural Language Processing (Nlp) Web Applications Projects With Python (Flask, Django, Heroku, AWS, Azure, GCP, IBM Watson, Streamlit Cloud).
According to Glassdoor, the
average salary for a Data Scientist is $117,345/yr
. This is above the national average of $44,564. Therefore, a Data Scientist makes 163% more than the national average salary.
This makes Data Science a highly lucrative career choice. It is mainly due to the dearth of Data Scientists resulting in a huge income bubble.
Since Data Science requires a person to be proficient and knowledgeable in several fields like Statistics, Mathematics, and Computer Science, the learning curve is quite steep. Therefore, the value of a Data Scientist is very high in the market.
A Data Scientist enjoys a position of prestige in the company. The company relies on its expertise to make data-driven decisions and enable them to navigate in the right direction.
Furthermore, the
role of a Data Scientist
depends on the specialization of his employer company.
For example
A commercial industry will require a data scientist to analyze their sales.
A healthcare company will require data scientists to help them analyze genomic sequences. The salary of a Data Scientist depends on his role and type of work he has to perform. It also depends on the size of the company which is based on the amount of data they utilize.
Still, the
pay scale of Data scientists is way above other IT and management sectors
. However, the salary observed by Data Scientists is proportional to the amount of work that they must put in. Data Science needs hard work and requires a person to be thorough with his/her skills.
Due to several lucrative perks, Data Science is an attractive field. This, combined with the number of vacancies in Data Science makes it an
untouched gold mine
. Therefore, you should learn Data Science in order to enjoy a fruitful career.
In This Course, We Are Going To Work On 75 Real World Data Science, Machine Learning Projects Listed Below
Project-1: Pan Card Tempering Detector App -Deploy On Heroku
Project-2: Dog breed prediction Flask App
Project-3: Image Watermarking App -Deploy On Heroku
Project-4: Traffic sign classification
Project-5: Text Extraction From Images Application
Project-6: Plant Disease Prediction Streamlit App
Project-7: Vehicle Detection And Counting Flask App
Project-8: Create A Face Swapping Flask App
Project-9: Bird Species Prediction Flask App
Project-10: Intel Image Classification Flask App
Project-11: Language Translator App Using IBM Cloud Service -Deploy On Heroku
Project-12: Predict Views On Advertisement Using IBM Watson -Deploy On Heroku
Project-13: Laptop Price Predictor -Deploy On Heroku
Project-14: WhatsApp Text Analyzer -Deploy On Heroku
Project-15: Course Recommendation System -Deploy On Heroku
Project-16: IPL Match Win Predictor -Deploy On Heroku
Project-17: Body Fat Estimator App -Deploy On Microsoft Azure
Project-18: Campus Placement Predictor App -Deploy On Microsoft Azure
Project-19: Car Acceptability Predictor -Deploy On Google Cloud
Project-20: Book Genre Classification App -Deploy On Amazon Web Services
Project 21 : DNA classification Deep Learning for finding E.Coli -AWS - Deploy On AWS
Project 22 : Predict the next word in a sentence. - AWS - Deploy On AWS
Project 23 : Predict Next Sequence of numbers using LSTM - AWS - Deploy On AWS
Project 24 : Keyword Extraction from text using NLP - Deploy On Azure
Project 25 : Correcting wrong spellings (correct spelling prediction) - Deploy On Azure
Project 26 : Music popularity classififcation - Deploy On Google App Engine
Project 27 : Advertisement Classification - Deploy On Google App Engine
Project 28 : Image Digit Classification - Deploy On AWS
Project 29 : Emotion Recognition using Neural Network - Deploy On AWS
Project 30 : Breast cancer Classification - Deploy On AWS
Project-31: Sentiment Analysis Django App -Deploy On Heroku
Project-32: Attrition Rate Django Application
Project-33: Find Legendary Pokemon Django App -Deploy On Heroku
Project-34: Face Detection Streamlit App
Project-35: Cats Vs Dogs Classification Flask App
Project-36: Customer Revenue Prediction App -Deploy On Heroku
Project-37: Gender From Voice Prediction App -Deploy On Heroku
Project-38: Restaurant Recommendation System
Project-39: Happiness Ranking Django App -Deploy On Heroku
Project-40: Forest Fire Prediction Django App -Deploy On Heroku
Project-41: Build Car Prices Prediction App -Deploy On Heroku
Project-42: Build Affair Count Django App -Deploy On Heroku
Project-43: Build Shrooming Predictions App -Deploy On Heroku
Project-44: Google Play App Rating prediction With Deployment On Heroku
Project-45: Build Bank Customers Predictions Django App -Deploy On Heroku
Project-46: Build Artist Sculpture Cost Prediction Django App -Deploy On Heroku
Project-47: Build Medical Cost Predictions Django App -Deploy On Heroku
Project-48: Phishing Webpages Classification Django App -Deploy On Heroku
Project-49: Clothing Fit-Size predictions Django App -Deploy On Heroku
Project-50: Build Similarity In-Text Django App -Deploy On Heroku
Project-51 : Sonic wave velocity prediction using Signal Processing Techniques
Project-52 : Estimation of Pore Pressure using Machine Learning
Project-53 : Audio processing using ML
Project-54 : Text characterisation using Speech recognition
Project-55 : Audio classification using Neural networks
Project-56 : Developing a voice assistant
Project-57 : Customer segmentation
Project-58 : FIFA 2019 Analysis
Project-59 : Sentiment analysis of web scrapped data
Project-60 : Determing Red Vine Quality
Project-61: Heart Attack Risk Prediction Using Eval ML (Auto ML)
Project-62: Credit Card Fraud Detection Using Pycaret (Auto ML)
Project-63: Flight Fare Prediction Using Auto SK Learn (Auto ML)
Project-64: Petrol Price Forecasting Using Auto Keras
Project-65: Bank Customer Churn Prediction Using H2O Auto ML
Project-66: Air Quality Index Predictor Using TPOT With End-To-End Deployment (Auto ML)
Project-67: Rain Prediction Using ML models & PyCaret With Deployment (Auto ML)
Project-68: Pizza Price Prediction Using ML And EVALML(Auto ML)
Project-69: IPL Cricket Score Prediction Using TPOT (Auto ML)
Project-70: Predicting Bike Rentals Count Using ML And H2O Auto ML
Project-71: Concrete Compressive Strength Prediction Using Auto Keras (Auto ML)
Project-72: Bangalore House Price Prediction Using Auto SK Learn (Auto ML)
Project-73: Hospital Mortality Prediction Using PyCaret (Auto ML)
Project-74: Employee Evaluation For Promotion Using ML And Eval Auto ML
Project-75: Drinking Water Potability Prediction Using ML And H2O Auto ML
The Only Course You Need To Become A Data Scientist, Get Hired And Start A New Career
Note (Read This): This Course Is Worth Of Your Time And Money, Enroll Now Before Offer Expires.
Who this course is for
Beginners in data science
Homepage
Code:
https://www.udemy.com/course/real-world-data-science-projects-practically/
[Only registered and activated users can see links. Click Here To Register...]
Code:
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Big Data Hadoop and Spark with Scala
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Big Data Hadoop and Spark with Scala
Last updated 11/2023
Created by Harish Masand
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 63 Lectures ( 44h 44m ) | Size: 23.1 GB
Complete course (No Prerequisites) - Big Data Hadoop with Spark and Eco system
What you'll learn:
You will learn about Hadoop, eco system, tools and spark
Big Data Hadoop Development
Requirements:
No Pre-requisite required.
Curiosity to learn new technology.
Description:
This course will make you ready to switch career on big data hadoop and spark.After this watching this, you will understand about Hadoop, HDFS, YARN, Map reduce, python, pig, hive, oozie, sqoop, flume, HBase, No SQL, Spark, Spark sql, Spark Streaming.This is the one stop course. so dont worry and just get started. You will get all possible support from my side. For any queries, feel free to message me here.Note: All programs and materials are provided. About Hadoop Ecosystem, NoSQL and Spark:Hadoop and its Ecosystem: Hadoop is an open-source framework for distributed storage and processing of large data sets. Its core components include the Hadoop Distributed File System (HDFS) for data storage and the MapReduce programming model for data processing. Hadoop's ecosystem comprises various tools and frameworks designed to enhance its capabilities. Notable components include Apache Pig for data scripting, Apache Hive for data warehousing, Apache HBase for NoSQL database functionality, and Apache Spark for faster, in-memory data processing. These tools collectively form a robust ecosystem that enables organizations to tackle big data challenges efficiently, making Hadoop a cornerstone in the world of data analytics and processing.NoSQL: NoSQL, short for "not only SQL," represents a family of database management systems designed to handle large and unstructured data. Unlike traditional relational databases, NoSQL databases offer flexibility, scalability, and agility. They are particularly well-suited for applications involving social media, e-commerce, and real-time analytics. Prominent NoSQL databases include Hbase for columnar storage used extensively in Hadoop Ecosystem. Spark: Apache Spark is an open-source, lightning-fast data processing framework designed for big data analytics. It offers in-memory processing, which significantly accelerates data analysis and machine learning tasks. Spark supports various programming languages, including Java, Scala, and Python, making it accessible to a wide range of developers. With its ability to process both batch and streaming data, Spark has become a preferred choice for organizations seeking high-performance data analytics and machine learning capabilities, outpacing traditional MapReduce-based solutions for many use cases.
Who this course is for:
People looking to advance their career in Data Engineering, Big Data, Hadoop, Spark
Hadoop python spark scala hive pig oozie sqoop flume kafka
Code:
https://anonymz.com/?https://www.udemy.com/course/big-data-harish/
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Code:
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SAP EWM - Full Consultant course for beginners - 110 hours
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SAP EWM - Full Consultant course for beginners - 110 hours
Published 4/2024
Created by Studyuuu SAP MM/EWM
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 32 Lectures ( 55h 1m ) | Size: 34.7 GB
SAP EWM Consultant full course from scratch
What you'll learn:
Roles and responsibilities of EWM consultant
Knows about configurations and other EWM relevant knowledge
Identify the requirements
EWM roles as consultant
Requirements:
Leran from scratch- No prior knowledge required
Description:
The abbreviation SAP EWM stands for SAP Extended Warehouse Management. As the name suggests, it is a warehouse management system with an extended range of functions. Essentially, the SAP EWM system supports the entire warehouse logistics, the processing of all goods movements and warehouse management. The focus is on efficient logistics and warehouse processes.SAP has been a leading provider of warehouse logistics solutions in the past. For a long time, SAP LES Warehouse Management (SAP WM for short) was regarded as the standard for logistics and warehouse management. Since its introduction in 1993, the functionality of the module has been continuously expanded. Numerous extensions in the form of add-ons were also available. Only a few examples are integration options for further functions such as floor conveyor technology, C-parts bearings or machine controls. SAP EWM, introduced in 2005, already has most of these functions on board as standard.In contrast to SAP WM, SAP EWM is not a module, but a completely independent system for the requirements of intralogistics. Companies therefore operate their ERP and SAP EWM on different instances. While ERP is responsible for commercial processes, logistics transactions are handled by EWM. Master data, transaction data and documents for goods receipt and goods issue are exchanged and compared via interfaces. The reason for this separation is to distribute the workload evenly.Since the introduction of S/4HANA, "Extended Warehouse Management" has been integrated into the core of the latest Business Suite ("embedded EWM"). Furthermore, SAP EWM is part of SAP SCE, SAP's Supply Chain Execution Platform.What are the advantages of SAP EWM?The main advantage of SAP EWM lies in the numerous possibilities of process automation for warehouse logistics and warehouse management. For example, it is possible to map distances including steps in order to optimize material flows. The entire process of a product - from goods receipt and quality inspection to the final storage location - can be automated. In contrast to SAP WM, an unlimited number of warehouse types can also be defined with SAP EWM, which is particularly useful for large logistics structures.It is also worth mentioning that SAP EWM is delivered with an open source code. Thus, company-specific adaptations are easily possible. In addition, a functioning SAP partner network has been established in which consulting and development companies offer a wide range of individual EWM functions.What functions does SAP EWM offer?The functional scope of SAP EWM goes far beyond that of the SAP WM module. SAP EWM is suitable for warehouse control even if complex scenarios with several locations are involved. The following functions are particularly noteworthy:Fine-grained storage location management and optimizationMapping of all goods movements, as well as goods receipt and goods issueMapping of work centers in the warehouseinventoryMonitoring and planning of warehouse stocks and goods movementsConnection of data radio (RF connection)Warehouse control (interfaces to automation systems)In the following we would like to take a closer look at these functions.Warehouse Management and Storage Bin Optimization with SAP EWMIn SAP "Extended Warehouse Management" companies have the possibility to map all warehouse facilities. These include automatic high-bay warehouses, block warehouses and fixed bin warehouses of various types. Stocks are managed in SAP EWM at storage bin level, which can be defined individually. Material flows can be tracked precisely at any time thanks to the storage location logic. The localization of individual products is also possible without any problems. SAP EWM automatically optimizes the allocation of storage bins if required. The system uses criteria such as dimensions and turnover frequency.Further information can also
Who this course is for:
SAP EWM Functional consultant beginners
Code:
https://anonymz.com/?https://www.udemy.com/course/sap-ewm-full-consultant-course-for-beginners-110-hours/
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Master C++ Programming - Complete Beginner to Advanced
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Master C++ Programming - Complete Beginner to Advanced
Published 6/2024
Created by GeeksforGeeks (GfG)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 253 Lectures ( 29h 29m ) | Size: 36.2 GB
Learn C++ programming skills and concepts like OOPs , Looping, Functional Programming and more.
What you'll learn:
Data Structures
Algorithms
Programming
Problem solving
C++ Language
Requirements:
No programming experience required
Description:
A beginner-friendly course crafted to introduce you to the world of competitive programming using C++ from the ground up. Dive into the fundamentals of C++ including Variables, Data Types, Input & Output, Operators, and much more as you build a solid C++ programming foundation. This course is tailored for absolute beginners eager to start their journey in competitive programming with C++ and lay a robust groundwork for further exploration in algorithms and data structures.In this course, you will gain comprehensive knowledge of Functions, Loops, Strings, Arrays, and Standard Template Library (STL), learning to solve coding problems using C++ effectively.This course is curated by competitive programming experts and industry veterans, including GeeksforGeeks CEO Mr. Sandeep Jain, ensuring you receive top-notch training and skill enhancement. Engage with practical C++ programming examples and exercises to solidify your learning.Elevate your problem-solving capabilities and career prospects with C++, a critical language in the realm of competitive programming. By completing this course, you will not only build a strong foundation in C++ but also unlock diverse opportunities in competitive programming and technical career paths, making it a significant step in your skill development journey.Who Should Enroll:Beginners: Individuals new to programming or C++ who wish to build a solid foundation.Aspiring Competitive Programmers: Those interested in participating in coding competitions like GeeksforGeeks, Codeforces, CodeChef, or AtCoder.Students and Job Seekers: Computer science students and job seekers preparing for technical interviews and competitive exams.Prerequisites:Basic Mathematical Skills: An understanding of basic mathematics is recommended.Interest in Programming: No prior programming experience required, just a willingness to learn and practice.Course Materials:Online Resources: Access to coding platforms and exercises for hands-on practice.Software: Guidance on setting up the C++ development environment.Instructor:The course is developed and taught by industry experts and competitive programming enthusiasts, including GeeksforGeeks CEO Mr. Sandeep Jain, who brings their experience and expertise to provide you with the best learning experience.
Who this course is for:
Beginner to Advance C++ Programmer
Code:
https://anonymz.com/?https://www.udemy.com/course/master-c-programming-complete-beginner-to-advanced/
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Audio Production Mastery: Audacity | Pro Tools | Fl Studio |
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Audio Production Mastery: Audacity | Pro Tools | Fl Studio |
Published 6/2024
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 29.53 GB | Duration: 42h 0m
Master audio production with Audacity, Pro Tools First, and FL Studio in this comprehensive course
What you'll learn
Audacity Basics: Introduction to Audacity, navigating the user interface, using tools like the Envelope and Draw Tool.
Recording and Editing: Techniques for recording audio, basic voice-over editing, noise reduction, and applying effects.
Multitrack Editing: Creating and editing multitrack projects, importing and managing multiple audio tracks.
Advanced Audio Effects: Applying various effects like equalization, pitch change, reverb, and compression.
Music Production with FL Studio: Basics and advanced features of FL Studio, including pattern creation, mixing, and using plugins.
Pro Tools First Essentials: Introduction to Pro Tools First, basic editing, recording instruments and vocals, and mixing techniques.
MIDI and Advanced Techniques: MIDI setup, recording MIDI music, automation, and advanced editing in Pro Tools First.
Project Completion: Completing real-world projects using Audacity, Pro Tools First, and FL Studio, covering different aspects of audio production.
Requirements
Basic Computer Skills: Comfortable using a computer and navigating software interfaces.
Access to Software: Access to Audacity, Pro Tools First, and FL Studio (versions used in the course).
Audio Equipment: Basic audio recording equipment such as a microphone and headphones.
Music or Audio Interest: Interest in music production, audio editing, or sound engineering.
Internet Access: Reliable internet connection for accessing course materials and online resources.
Optional: Familiarity with basic music theory and terminology can be beneficial but not required.
Description
IntroductionWelcome to "Audio Production Mastery: Audacity | Pro Tools | FL Studio |" a comprehensive course designed to equip you with essential skills in audio editing and music production using Audacity, Pro Tools First, and FL Studio. This course will take you from the basics of audio editing to advanced music production techniques, ensuring you have the tools and knowledge to create professional-quality audio projects.Section 1: AudacityThis section introduces you to Audacity, a powerful, open-source audio editing tool. You will learn about its user interface, tools, and features. The course covers everything from basic waveform editing and recording to applying effects and mastering tracks. By the end of this section, you'll be able to produce high-quality audio recordings and edits with confidence.Key Topics:Introduction to AudacityUser Interface and ToolsRecording and Editing TechniquesApplying Effects and Mastering TracksAdvanced Features and Plug-insSection 2: Pro Tools First - BeginnersIn this section, we delve into Pro Tools First, a leading audio production software used by professionals worldwide. Starting with the basics, you'll learn how to navigate the user interface, create and manage tracks, import and edit audio files, and use essential tools and effects. This section is designed for beginners to build a strong foundation in using Pro Tools for audio production.Key Topics:Introduction to Pro Tools FirstBasic User Interface and NavigationCreating and Managing TracksImporting and Editing AudioEssential Tools and EffectsSection 3: Pro Tools First - AdvancedBuilding on the foundational skills from the previous section, this part of the course takes you deeper into Pro Tools First. You'll explore advanced features such as MIDI automation, tempo and pitch adjustments, and sophisticated editing techniques. This section aims to transform your basic knowledge into expert-level proficiency.Key Topics:Advanced MIDI FeaturesTempo and Pitch AdjustmentsAdvanced Editing TechniquesAutomation and EffectsMixing and MasteringSection 4: Music Production using FL Studio - BeginnersThis section introduces you to FL Studio, another powerful tool for music production. Starting from scratch, you'll learn how to navigate the FL Studio interface, use the Channel Rack, create patterns, and work with the Piano Roll. This beginner-friendly section ensures you understand the fundamentals of music production using FL Studio.Key Topics:Introduction to FL StudioBasic User Interface and NavigationChannel Rack and Pattern CreationPiano Roll BasicsArranging and Editing TracksSection 5: Music Production using FL Studio - AdvancedIn the final section, you'll move on to advanced techniques in FL Studio. Learn about mixing and mastering, working with plugins, creating complex arrangements, and using automation to add dynamics to your music. By the end of this section, you ll be capable of producing professional-quality music tracks.Key Topics:Advanced Mixing and MasteringWorking with PluginsComplex ArrangementsAutomation TechniquesFinalizing and Exporting ProjectsConclusion"Audio Production Mastery: Audacity | Pro Tools | FL Studio |" provides a comprehensive learning journey from basic audio editing to advanced music production. By completing this course, you will gain the skills needed to produce professional audio and music projects using industry-standard tools. Whether you are a beginner or looking to enhance your existing skills, this course is designed to help you achieve your audio production goals.
Overview
Section 1: Audacity
Lecture 1 Introduction to Audacity
Lecture 2 Plug-ins and Libraries
Lecture 3 Understanding the User Interface
Lecture 4 User Interface Continues
Lecture 5 Envelope Tool
Lecture 6 Draw Tool
Lecture 7 Recording Preview
Lecture 8 Play at Speed
Lecture 9 Project Rate
Lecture 10 Basic Properties of Track
Lecture 11 Level Tracks
Lecture 12 Waveform DB
Lecture 13 Working on Waveform
Lecture 14 Track Rate
Lecture 15 Import Multiple Tracks
Lecture 16 Adding Notes to Tracks
Lecture 17 Record with Audacity
Lecture 18 Record with Audacity Continues
Lecture 19 Preferences Recording
Lecture 20 More on Preferences Recording
Lecture 21 Recording Small Script
Lecture 22 Checking Recorded Script
Lecture 23 Basic Voice Over Editing
Lecture 24 Basic Voice Over Editing Continues
Lecture 25 How to Edit Script
Lecture 26 Sync Lock Tracks
Lecture 27 Remove Special
Lecture 28 Noise Reduction
Lecture 29 Use Edit Tools
Lecture 30 Label Track
Lecture 31 Changing Quality of Voice
Lecture 32 Create Multitrack Music
Lecture 33 Audacity Silence
Lecture 34 Creating Music
Lecture 35 Apply Chain
Lecture 36 Voice Instrument and Percussion
Lecture 37 Collapse All Track
Lecture 38 Collapse All Track Continues
Lecture 39 Working with Loops and Tracks
Lecture 40 Creating Beats
Lecture 41 Assembling Music
Lecture 42 Assembling Music Continues
Lecture 43 Choice of Clips
Lecture 44 Looping the Music
Lecture 45 Balancing Audio
Lecture 46 Final Mixing Music
Lecture 47 Audio Effects
Lecture 48 Audio Effects Continues
Lecture 49 Working with Effects
Lecture 50 Equalization Preview
Lecture 51 Change Pitch and Speed
Lecture 52 More on Changing Pitch
Lecture 53 Working with Leveler
Lecture 54 Change Tempo
Lecture 55 Audacity Repair and Reverb
Lecture 56 Sliding Time Scale
Lecture 57 Audacity Normalize Effect
Lecture 58 SC4 Effect Setting
Lecture 59 Nyquist - Clip Fix
Lecture 60 Nyquist - Crossfade Clips
Lecture 61 Nyquist - Delay
Lecture 62 Low Pass Filter
Lecture 63 Spectral Edit Multi Tool
Lecture 64 Nyquist - Tremolo
Lecture 65 Audacity - Export
Lecture 66 Conclusion
Section 2: Pro Tools First - Beginners
Lecture 67 Introduction to Pro Tools First
Lecture 68 Pro Tools First Basic
Lecture 69 User Interface
Lecture 70 User Interface Continues
Lecture 71 Edit Interfaces
Lecture 72 Project Window and Edit Specific
Lecture 73 Options and Setup
Lecture 74 Grid Spacing
Lecture 75 Introduction to Pro Tool
Lecture 76 Introduction to Pro Tool Continues
Lecture 77 Creating a New Track Using Pro Tool
Lecture 78 New Track with Selecting a Region
Lecture 79 Import Files Into Pro Tool
Lecture 80 Import Files into Pro Tool Continues
Lecture 81 Create a Track in Pro Tool
Lecture 82 Other Track in Pro Tools
Lecture 83 How to Organized to in Pro Tool
Lecture 84 Changing the Colors of the Tracks
Lecture 85 Changing Tempo of the Tracks
Lecture 86 Changing Tempo of the Tracks Continues
Lecture 87 How to Marks and Remove the Tracks Using the Tools
Lecture 88 How to Fade and Cross Fade the Tracks
Lecture 89 How to Records Voice Inside the Pro Tools
Lecture 90 How to Records Instrument Inside the Pro Tools
Lecture 91 Edit the Recorded Voice
Lecture 92 Loop Recording in Pro Tools
Lecture 93 How to do Punch Record
Lecture 94 How to do Punch Record Continues
Lecture 95 How to Make Groups of the Tracks
Lecture 96 How to Make Groups of the Tracks Continue
Lecture 97 Types of Editing Tools in Pro Tools
Lecture 98 Creating a Duplicate Tracks in Pro Tools
Lecture 99 Examples of Editing Voice and Music
Lecture 100 Examples of Editing Voice and Music Continues
Lecture 101 Suffle Mode and Slip Mode
Lecture 102 Grouping of Male and Female Voice
Lecture 103 Merging Voice and Music's Together
Lecture 104 Merging Voice and Music's Together Continues
Lecture 105 Introduction to Elastic Audio
Lecture 106 Examples of Elastic Audio
Lecture 107 How to get Proper Tempo in Elastic Audio
Lecture 108 How to get Proper Tempo in Elastic Audio Continues
Lecture 109 Edit the Voice Using Elastic Audio
Lecture 110 Increase and Dresses the Tempo
Lecture 111 Tempo and Tempo Editor
Lecture 112 Tempo and Tempo Editor Continues
Lecture 113 How to Change Tempo with the Conductor Track
Lecture 114 Different ways to Blow the Tempo
Lecture 115 Automation in Pro Tools
Lecture 116 Automation in Pro Tools Continues
Lecture 117 How to Manage the Volume in Pro Tools
Lecture 118 How to Change Track in Wave Form
Lecture 119 Example to Manage the Volume in Pro Tools
Lecture 120 Example to Manage the Volume in Pro Tools Continues
Section 3: Pro Tools First - Advanced
Lecture 121 Introduction to Pro Tools First - Advanced
Lecture 122 Midi Introduction
Lecture 123 Setting Up MIDI
Lecture 124 More on Setting Up MIDI
Lecture 125 MIDI Tracks
Lecture 126 Create Artillery Track
Lecture 127 Recording Midi Music
Lecture 128 Recording Midi Music Continues
Lecture 129 Midi Modes
Lecture 130 Midi Merge
Lecture 131 Loop Recording in the Merge Midi
Lecture 132 Instrument Tracks in Midi
Lecture 133 Midi Automation
Lecture 134 Midi Automation Continues
Lecture 135 Volume Automation in the Midi
Lecture 136 Types of Midi Automation
Lecture 137 Audio Pan and Fader in the Midi
Lecture 138 Audio Pan and Fader in the Midi Continues
Lecture 139 Effect of Velocity in Midi
Lecture 140 Types of Velocity Effect
Lecture 141 Midi Velocity
Lecture 142 Midi Velocity Continues
Lecture 143 Writing the Music Using Midi Nodes
Lecture 144 Writing the Music Using Smart Tools
Lecture 145 Editing Midi Music
Lecture 146 Editing Midi Music Continues
Lecture 147 Introduction Quantization in Midi
Lecture 148 Quantization with Nodes
Lecture 149 Real Time Quantization Properties
Lecture 150 More on Real Time Quantization Properties
Lecture 151 Introduction to Effect Insert
Lecture 152 Plugin to Effect Insert
Lecture 153 Plugin Overview
Lecture 154 Plugin Overview Continues
Lecture 155 Effect Inserts Xpand2
Lecture 156 Bypassing the Xpand2
Lecture 157 Synthesizer Call
Lecture 158 Using a Synthesizer Call
Lecture 159 Controller in the Expand 2
Lecture 160 Controller in the Expand 2 Continues
Lecture 161 Adding a Voices in the Tracks
Lecture 162 Voice Editing and Music's
Lecture 163 Effect Inserts - 7 Band Equalizer Introduction
Lecture 164 Adding a 7 Band Equalizer
Lecture 165 Effect Inserts - D Verb
Lecture 166 Effect Inserts - D Verb Continues
Lecture 167 Effect Inserts - Compressor Limiter
Lecture 168 Vocal Leveler Effect Inserts - Compressor Limiter
Lecture 169 Creating a Auxiliary Track in a Audio Mixer
Lecture 170 Creating a Bass Track in a Audio Mixer
Lecture 171 Sub Mixing of Music and Voice
Lecture 172 Sub Mixing Using Bouncing Track
Lecture 173 Bouncing Track Using Different Position
Lecture 174 Bouncing Track Using Different Position Continues
Section 4: Music Production using FL Studio - Beginners
Lecture 175 Introduction to Music Production using FL Studio - Beginner Lessons
Lecture 176 FL Studio
Lecture 177 User Interface
Lecture 178 User Interface Continues
Lecture 179 Working with Channel Rack
Lecture 180 Main GUI Scaling
Lecture 181 Main Panel
Lecture 182 SFX Transitions
Lecture 183 Hint Bar
Lecture 184 Arranging and Editing
Lecture 185 Snap Panel
Lecture 186 Pattern Panel
Lecture 187 Lock and Hide Bars
Lecture 188 Lock and Hide Bars Continues
Lecture 189 Arrange Window - Save Custom Layout
Lecture 190 Project General Settings
Lecture 191 Adding Files and Folders
Lecture 192 Working with Audio Files
Lecture 193 What is Pattern
Lecture 194 Adding Patterns
Lecture 195 Working with Pattern Editor
Lecture 196 Use of Solo Track
Lecture 197 Creating Symmetrical Beats
Lecture 198 Boo Bass - Selecting Range
Lecture 199 Changing Tone of Beat
Lecture 200 Time Stretching
Lecture 201 Patter Sequencer
Lecture 202 Patter Sequencer Continues
Lecture 203 FL Keys
Lecture 204 Root Notes CS
Lecture 205 Piano Roll
Lecture 206 Piano Roll Continues
Lecture 207 Piano Roll - Xylocanllon
Lecture 208 Piano Roll - Boo Bass
Lecture 209 Piano Roll - Electric
Lecture 210 Piano Roll - Electric Continues
Lecture 211 Pencil and Delete Tool
Lecture 212 Creating Notes
Lecture 213 Creating Manually Chords
Lecture 214 Chords Selector
Lecture 215 Flam Fast
Lecture 216 Working with Velocity
Lecture 217 Arabic Scales
Lecture 218 Major Bebop
Lecture 219 Control Velocity of Note
Lecture 220 Note Pan
Lecture 221 Note Modulation
Lecture 222 Note Modulation Continues
Lecture 223 Slide Up
Lecture 224 Piano Roll - Hard Kick
Lecture 225 Create Chords Progression and Beats
Lecture 226 Piano Roll - Arpeggiator
Lecture 227 Piano Roll - Music Box
Lecture 228 Piano Roll - E Grand
Lecture 229 Dream Bell
Lecture 230 Dream Bell Continues
Lecture 231 Piano Roll - Quantizer
Lecture 232 Piano Roll - Chopper
Lecture 233 Piano Roll - Strumizer
Lecture 234 Acoustic Steel
Lecture 235 Asian String
Lecture 236 Piano Roll - Randomizer
Lecture 237 Play List Editor
Lecture 238 Play List Editor Continues
Lecture 239 Grand Piano
Lecture 240 Playlist - Patter 6
Lecture 241 Organizing Tracks
Lecture 242 Creating Pattern of Synth
Lecture 243 How to use Playlist
Lecture 244 Playlist - Drums
Lecture 245 Power Tom Low
Lecture 246 Conclusion
Section 5: Music Production using FL Studio - Advanced
Lecture 247 Introduction to FL Studio Advanced
Lecture 248 Load 10 Instruments
Lecture 249 Mixing Board
Lecture 250 Mixing Board Continues
Lecture 251 Creating Pattern Editor
Lecture 252 Drummax Demo version
Lecture 253 Creating Pattern Sequencer
Lecture 254 Matching Audio
Lecture 255 Creating Basic tune
Lecture 256 Playlist Editor - Working with Color
Lecture 257 Creating Basic Playlists
Lecture 258 Create Group - E Piano
Lecture 259 Color the Groups
Lecture 260 Fruity Parametric EQ
Lecture 261 Load Multiple Tracks
Lecture 262 Multimedia Brick wall
Lecture 263 Send Multiple Input
Lecture 264 Working with Equalizer
Lecture 265 Side Chaining
Lecture 266 Side Chaining Continues
Lecture 267 Fruity Limiter
Lecture 268 Gross Beats
Lecture 269 Edison
Lecture 270 More on Edison
Lecture 271 Edison - New Sample Recording
Lecture 272 Edison - Basic File Menu
Lecture 273 Selection Tools
Lecture 274 Tools - Fade In
Lecture 275 Paste Mix Envelope
Lecture 276 Loading Sample Project Edison
Lecture 277 Use of AMP
Lecture 278 Convolution Reverb
Lecture 279 Working with Stereo Separation
Lecture 280 Working with Effects Automation
Lecture 281 Working with Effects Automation Continues
Lecture 282 Channel Rack
Lecture 283 Fruity Peak Controller
Lecture 284 Sakura Plugin
Lecture 285 Configure Growling Sound
Lecture 286 Create Automation Clip
Lecture 287 Adding Sakura Demo
Lecture 288 Working with Vocal Noise
Lecture 289 Poisoned Modification
Lecture 290 Vocal - Panning Offset
Lecture 291 Hardcore Sakura
Lecture 292 Event Sakura Planning
Lecture 293 Plugins
Lecture 294 More on Plugins
Lecture 295 Plugins - FPC
Lecture 296 Basic Settings of FPC
Lecture 297 Plugins - Bass Drum
Lecture 298 Plugins - Bass Drum Continues
Lecture 299 Plugins - Duramax
Lecture 300 Fruit Kick and Drum Synth
Lecture 301 Plugins - 3x OSC
Lecture 302 Plugins - Fruity DX10
Lecture 303 Plugins - Harmless
Lecture 304 Plugins - Harmless Continues
Lecture 305 Plugins - Citrus
Lecture 306 Working with Citrus
Lecture 307 Plugins - Assorted Synth
Lecture 308 Assorted Synth Continues
Lecture 309 Mysterious Woods
Lecture 310 ETHNO and Power Rock
Lecture 311 Piano Roll - Riff Machine
Lecture 312 Working with Morphine
Lecture 313 Mixer Plugins
Lecture 314 Conclusion
Beginners in Audio Production: Individuals with little to no prior experience in audio production, who want to learn the fundamentals of using Audacity, Pro Tools First, and FL Studio for creating and editing audio and music.,Students and Enthusiasts: Students or hobbyists interested in exploring music production, voice recording, and audio editing as a creative outlet or potential career path.,Content Creators: YouTubers, podcasters, and multimedia creators looking to enhance their audio editing skills to improve the quality of their productions.,Musicians and Songwriters: Artists who want to learn how to record, edit, and produce their own music tracks or demos.,Sound Engineers and Technicians: Professionals seeking to expand their knowledge of digital audio workstations (DAWs) and improve their technical skills in audio editing and production.,Anyone Interested in Audio Technology: Individuals curious about digital audio software and tools, eager to understand how to manipulate and enhance sound digitally.
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Azure Fundamental (AZ-900) by CloudFolks HUB
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Azure Fundamental (AZ-900) by CloudFolks HUB
Published 6/2024
Created by CloudFolks HUB
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 133 Lectures ( 22h 29m ) | Size: 22.4 GB
Microsoft Azure Fundamentals: Introduction to Cloud Computing for IT Professionals, Business Leaders, and Beginners
What you'll learn:
Basics of Cloud Computing: Understanding Cloud Types and Services
Creating an Azure Free Account: Understanding Regions, Availability Zones, Availability Sets, Resource Groups, Subscriptions, and Management Groups
Understand by creating Azure Compute Services: VMs (Windows & Linux), App Service, Serverless, Function vs. Logic Apps - with Practical Exercises
Practical Exercises: Azure Virtual Networking - VNet, VPN Gateway, Site-to-Site VPN, ExpressRoute, High Availability, and VNet Peering
Practical Exercises: Azure Storage Services - Storage Account, File Share, Container Storage, and Table Storage
Practical Exercises: Database Basics - NoSQL, Relational, Multi-Model, Distributed, Graph, OLTP, Cloud, Data Lake & Warehouse, Azure Cosmos DB, MySQL,PostgreSQL
Hands-On Labs: Introduction to IoT - Azure IoT Central, IoT Hub, and Sphere
Hands-On Labs: Big Data - The 5 V's, Processing Frameworks, Streaming, NoSQL, Analytics, Data Warehousing, Azure Synapse, HDInsight, Databricks
Hands-On Labs: Azure CLI, PowerShell, Cloud Shell, Resource Manager Templates, Advisor, Monitor, Service Health, and Monitor vs. Advisor
Practical: Defender in Depth, Shared Responsibility, Microsoft Defender, Sentinel vs. Defender, Key Vault, Dedicated Host, NSGs, Firewall, DDoS Protection
Learn Azure Identity Services, Governance Features, Privacy & Compliance, and Sovereign Regions
Managing Costs: Pre-Deployment Tools (Pricing & TCO Calculators), Post-Deployment Tools, SLAs, and Lifecycles
Understand about Docker, Azure Container Instances (ACI), and Azure Kubernetes Service (AKS)
Requirements:
No Prior Azure Experience Required
Basic Computer Literacy
General IT Knowledge
Interest in Cloud Services
Description:
The AZ-900 Microsoft Azure Fundamentals certification is a core introductory course geared towards providing a foundational level knowledge of cloud services and how those services are provided with Microsoft Azure. As an essential stepping stone in the journey of Microsoft certification, this course focuses on basic cloud concepts, core Azure services, Azure pricing and support, and the fundamentals of cloud security, privacy, compliance, and trust.At CloudFolks HUB, we ensure our training courses are enriched with hands-on labs, helping you gain practical experience in Azure management and governance, application development, and understanding of Azure architecture and services. This holistic approach prepares you not only for the AZ-900 exam but also provides the necessary skills to become an efficient Azure Administrator.Our courses are crafted by experts with extensive knowledge of cloud computing, ensuring you gain a deep understanding of how to harness the power of cloud services. We keep our courses updated with the latest Azure services, strategies, and exam patterns, making sure your certification doesn't lose its value due to certification expiration.Whether you're a professional looking to upgrade your skills or a beginner starting your journey in the world of cloud computing, our Azure training courses are tailor-made to help you attain your Microsoft Azure certifications with confidence. Start your journey towards mastering Azure with CloudFolks HUB today.
Who this course is for:
IT Professionals & Beginners
Students and Career Changers
non-Technical Professionals
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