Thread: Video Tutorials Collection

[NEW] AZ-104: Microsoft Azure Administrator - July 2023
Last updated 8/2023
Created by Saurabh Gupta || CloudGita || AZ-900 || AZ-104 || AWS Certified Cloud Practitioner
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 342 Lectures ( 34h 11m ) | Size: 15.3 GB

Deep-Dive for AZ-104 Exam: Microsoft Azure Administrator | Demos | 30+ hours of videos || 100% Syllabus || PPTs

What you'll learn
Manage Azure identities and governance
Implement and manage storage
Deploy and manage Azure compute resources
Configure and manage virtual networking
Monitor and back up Azure resources

Requirements
No prerequisites. Everything in this course is covered from basics.
AZ-900 preferred but not a requirement

Description
Why AZ-104 exam?Exam AZ-104: Microsoft Azure Administrator is a certification exam for Azure administrators at the intermediate level. The exam is essential and necessary for Azure admins. This exam verifies your abilities to implement, manage, and monitor Azure cloud identity, computing, storage, virtual networks, and governance. In addition, expertise in provisioning, scaling, monitoring, and modifying resources to meet business needs.After passing the AZ-104 exam, you may achieve the Microsoft Certified: Azure Administrator Associate credential and confirm your Azure administrator abilities with ease.This course Includes:30+ Hours Training Videos for all Exam Objectives (100% Syllabus Covered)400+Downloadable Slides PDF100+ Quiz QuestionsFull lifetime accessCertificate of course completion30-days Money-Back GuaranteeAttractive Features:Very Detailed course, cover from basic to great detailsAlways updated with latest syllabusLots of Demos/Hands On - Almost every concept explained with DemoExplained while keeping beginners in mindMicrosoft Certified Trainer - with 10+years of experience in Microsoft TechnologiesConcepts Covered in this courseThe exam objectives address the following critical competencies for the Azure AZ-104 examination:Manage identities and Azure governanceManage and implement storageManage Azure computing resource deploymentsManage and configure virtual networkingManage and protect Azure resourcesOur AZ-104 course will provide you with all the tools necessary to get practical experience through hands-on laboratories and practice problems designed to reinforce your theoretical understanding.Who should take the Microsoft Azure Administrator Exam (AZ-104)?If you are a cloud administrator or an IT professional with the required Azure expertise and you wish to advance your career in Azure administrator jobs, passing this exam is essential. In addition, if you aspire to become an Azure administrator or wish to concentrate in the Azure administrator certification route, then the abilities acquired by studying for this test are crucial.You can take this test if you are a software administrator, cloud administrator, software engineer, or cloud engineer, or if you work in a comparable position.After completing the AZ-104 exam and achieving the Microsoft Certified: Azure Administrator Associate credential, you will be able to:Capable of implementing, managing, configuring, and monitoring Azure services and virtual networks, as well as demonstrating administrative abilities on Azure.Capable of collaborating with the team on a variety of complex Azure projects with major businesses as Microsoft, Accenture, Mercedes-Benz, Randstad, Wipro, etc.In demand among cloud administrators and future-proof your cloud administration profession.Receive extraordinary opportunities and compensations.

Who this course is for
Anyone who wants to clear AZ-104 certification exam
Anyone who wants to learn Azure Administrator role related technology
Anyone who wants to learn core Azure technologies.

Code:

https://anonymz.com/?https://www.udemy.com/course/azure-tips-tricks/

Code:

https://rapidgator.net/file/de21684a6ef656dc02ade3d0fcb97e7c/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part1.rar
https://rapidgator.net/file/d4ac8110ed299c915413b3d7e599560f/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part2.rar
https://rapidgator.net/file/95906c95b6ab42d36dcb76b775c64412/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part3.rar
https://rapidgator.net/file/f3c2554ccd39650c7f4c30190b382c08/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part4.rar

Code:

https://nitroflare.com/view/D091A5B0B418173/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part1.rar
https://nitroflare.com/view/00009023D91D20A/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part2.rar
https://nitroflare.com/view/27AEB1F948D0634/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part3.rar
https://nitroflare.com/view/0C2DE628ECF8437/NEW_AZ-104_Microsoft_Azure_Administrator_-_July_2023.part4.rar

CBTNuggets-Designing and Implementing Enterprise Scale Analytics Solutions Using Microsoft Azure and Microsoft Power BI DP-500
Released 9/2022
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 144 Lessons (20h 18m) | Size: 11.1 GB

This intermediate DP-500 prepares learners to take full control of a data analytics solution at the largest possible scale using Microsoft Power BI and tools available in Microsoft Azure

If you're at the point in your career where you're considering a job in data analytics solutions that work at the enterprise level, you may think the skills necessary to be excellent in the field come naturally to some people and not others. But that's not true designing, creating, and deploying large data analytics solutions are skills you can learn and practice.

This Microsoft Azure and Power BI training is designed to show you exactly how to plan an enterprise-level data analytics solution with Azure and Power BI. You can learn how to use the tools and features that make data solutions possible and harness them to advance your career with this course.

After finishing the videos in this DP-500 training, you'll know how to take full control of a data analytics solution at the largest possible scale using Microsoft Power BI and tools available in Microsoft Azure.

For anyone who manages their Microsoft 365 training, this Microsoft 365 training can be used to onboard new data analytics professionals, curated into individual or team training plans, or as a Microsoft 365 reference resource.

DP-500: What You Need to Know
For any data analysts and data engineers looking to improve their proficiency with data analysis and data visualization tools, this Microsoft 365 course covers topics such as

Understanding the Power BI REST API and PowerShell cmdlets
Querying advanced data sources, including JSON and Azure Machine Learning models
Creating R and Python visuals in Power BI
Using DirectQuery and DAX variables and functions

Who Should Take DP-500: Microsoft Azure and Microsoft Power BI Training?
This DP-500: Microsoft Azure and Microsoft Power BI training is considered associate-level Microsoft 365 training, which means it was designed for data analysts and data engineers. This Power BI skills course is designed for data analysts and data engineers with three to five years of experience with data analysis and data visualization tools.

New or aspiring data analysts and data engineers. This course is an excellent learning opportunity for IT professionals, data analysts, and data engineers. Learn what a robust data solution looks like at any scale and how many tools Microsoft supplies you to do the hardest work automatically.

Experienced data analysts and data engineers. The world runs on data, and if it's a part of your job to plan how your company or network is going to use, store, or process data, you should take this course in designing and implementing enterprise-scale analytics solutions. No matter where you are in your career, master Microsoft's tools for handling the biggest data environments.


Homepage

Code:

https://anonymz.com/?https://www.cbtnuggets.com/it-training/microsoft-365/dp-500

Code:

https://rapidgator.net/file/4bf7808d39e2e97af5c1d61fe8bff109/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part1.rar.html
https://rapidgator.net/file/1fbafb69158c7cd39814dbae4049e713/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part2.rar.html
https://rapidgator.net/file/d6592b66849d56fdad4c8b00614111de/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part3.rar.html

Code:

https://nitroflare.com/view/05338EB6828CF45/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part3.rar
https://nitroflare.com/view/290C11B0A6A73B6/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part1.rar
https://nitroflare.com/view/422DD4F66D50FFC/Designing_and_Implementing_Enterprise_Scale_Analytics_Solutions_Using_Microsoft_Azure_and_Microsoft_Power_BI_ _DP-500_ _Microsoft_Azure_Training.part2.rar

Cisco CCNA 200-301 Complete Course with Real Labs by Mustafa Bin Amar
Last Updated 08/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 144 lectures (56h 35m) | Size: 31.2 GB

Learn Cisco CCNA 200-301 with plain English and with Labs

What you'll learn
Get what you need to pass the up-to-date Cisco CCNA 200-301 exam
Hands-on Cisco CCNA configuration and troubleshooting experience through practice labs
Learn how to configure Cisco Routers and Switches
Explore This course is for anyone who wants to attain the Cisco CCNA 200-301 certificationow routing and switching technologies work in real world

Requirements
Basic understanding of computers (connect to the Internet)
You ll need basic knowledge of how to operate a computer
Absolute beginners to networking are welcome.

Description
In this course you will learn

Learn the basics of networking.

The difference between protocols like IP, TCP, and UDP.

The difference between IPv4 and IPv6.

The difference between routers and switches.

How to configure Cisco Catalyst switches.

How to configure Cisco IOS routers.

How to configure the OSPF routing protocol.

How to protect your routers with access-lists and VPNs.

How network automation impacts traditional network management

And many other topics

Full lab exercises are included so you will get the hands-on practical skills you need to work on real world networks,

It gives you a full understanding of all the concepts and topics you need to earn the most in-demand networking certification today by passing the Cisco CCNA 200-301 exam

This course helps you prepare for the newest CCNA 200-301 exam.

Follow simple step by step instructions to build your own fully featured lab on your laptop.

Gain hands on configuration and troubleshooting experience through comprehensive lab exercises

Learn how networking really works through real world examples throughout the course

Large amount of practical video content with detailed explanations of CCNA topics in GNS3 and Cisco Packet Tracer.

In this course you will learn how to setup GNS3 with VMware also.

This Course help you to get understanding about network. How network is connected.

We attached all notes in this course you can download all pdf file and study.

We attached all lab configuration file with lab topology in this course. You can download and do practices.

Who this course is for
Beginners to networking.
This course is for you if you want to learn New CCNA 200-301
This Course is for you if you are new to networking.
Networking Students who want to learn CISCO Network

Code:

https://anonymz.com/?https://www.udemy.com/course/networkforyouccna

Code:

https://rapidgator.net/file/74daf72560e133b871aef397e1232193/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part1.rar
https://rapidgator.net/file/542de587f562dae3e624fbdd93ffb6c6/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part2.rar
https://rapidgator.net/file/3de77cf1a1e115db1c986e46ad5a359b/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part3.rar
https://rapidgator.net/file/09211d29d870ad0df5bf83e68c4e6b15/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part4.rar
https://rapidgator.net/file/babc660ef0c8d8d12127eb5f73bd506c/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part5.rar
https://rapidgator.net/file/1e8cd892f5fa2d89542ac3e5d97dea1d/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part6.rar
https://rapidgator.net/file/5d12d71c644cb044416a967421746c7f/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part7.rar

Code:

https://nitroflare.com/view/0CD66BEC1AE4BB9/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part1.rar
https://nitroflare.com/view/531A142CE103C92/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part2.rar
https://nitroflare.com/view/669044AA98BDDBE/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part3.rar
https://nitroflare.com/view/650892B4F0BEF9D/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part4.rar
https://nitroflare.com/view/DC8681B807835BE/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part5.rar
https://nitroflare.com/view/E2D4E85F759F71C/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part6.rar
https://nitroflare.com/view/6E6BD4FCA71094D/Cisco_CCNA_200-301_Complete_Course_with_Real_Labs.part7.rar

Comptia A+ Core 1 (220-1101) Complete Course & Practice Exam
Last updated 9/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 19.25 GB | Duration: 25h 44m

Pass the CompTIA A+ (220-1101) Core 1 exam with help from a top expert in the field!



What you'll learn
How to pass the CompTIA A+ (220-1101) Core 1 exam on your first attempt
What your weak areas are in the CompTIA A+ curriculum so you can restudy those areas
Install, configure, and maintain computer equipment, mobile devices, and software for end users
Service components based on customer requirements
Understand networking basics and apply basic cybersecurity methods to mitigate threats
Properly and safely diagnose, resolve, and document common hardware and software issues
Apply troubleshooting skills and provide customer support using appropriate communication skills
Understand the basics of scripting, cloud technologies, virtualization, and multi-OS deployments in corporate environments

Requirements
CompTIA recommends having 9-12 months of on-the-job experience before taking the CompTIA A+ (220-1101) Core 1 exam (Recommended but not required)
Working knowledge of computers and small networks

Description
*** Taught by a Best Selling Certification Instructor ***This course provides everything you need in order to study for the CompTIA A+ Core 1 (220-1101) exam, including a downloadable Study Guide (PDF), quizzes to check your knowledge as you progress through the videos, and a full-length practice exam to test your knowledge before test day!Jason Dion is an expert in information technology and cybersecurity with over 20 years of experience, and he has designed this course to be a fun way to learn what you need to know to pass the CompTIA A+ Core 1 (220-1101) exam or to better prepare yourself to serve as a service analyst or computer technician in your organization information technology (IT) divisions.The CompTIA A+ Core 1 (220-1101) certification is a vendor-neutral certification that validates your knowledge and ability to conduct install, configure, and troubleshoot hardware issues in your organization. This certification tests your ability to think on your feet while performing critical IT support functions. The CompTIA A+ certification is designed for early-career data analysts with the equivalent of 9-12 months of on-the-job knowledge. The CompTIA A+ Core 1 exam is focused on hardware and mobile device support in order to support a wide variety of different devices used by a diverse and global workforce. CompTIA A+ Core 1 (220-1101) is an early-career IT support technician certification covering the theory and technical skills required to support computer hardware, mobile devices, networks, virtualization, and cloud computing environments. To help you practice for the CompTIA A+ Core 1 (220-1101) exam, this course even comes with a realistic practice exam containing 90 multiple-choice questions spread across the five domains tested by the CompTIA A+ Core 1 (220-1101) certification exam! This course will provide you with full coverage of the five domains of the CompTIA A+ Core 1 (220-1101) exam: Mobile Devices (15%)Networking (20%)Hardware (25%)Virtualization and Cloud Computing (11%)Hardware and Network Troubleshooting (29%)This course stays current and up-to-date with the latest release of the CompTIA A+ Core 1 exam (220-1101).This course is brought to you by Dion Training Solutions, a CompTIA Platinum Delivery Partner, and aligns directly with the OFFICIAL CompTIA A+ (220-1101) Certification Study Guide.What Other Students Are Saying About Our Courses:I've reviewed this information on several different sources and the method of covering this information was very clear and easy to understand compared to other sources, making an hour long process of re-covering this topic covered down into about half an hour, very helpful! (ZANE Alexander RICE, 5 stars)Very informative, it covered every topic on the A+ 1101 exam in great depth. My only issue is that the speaker would digress a little bit, but other than that, it's one of the best courses I've taken. (Ryan Samuels, 5 stars)Passed the first part on my first try (5/8/23) using this course and the practice exams. He explains everything that you would need with out the filler. I highly recommend this course to anyone just starting out.Upon completion of this course, you will earn 26 CEUs towards the renewal of your CompTIA A+ certification.

Overview
Section 1: Introduction

Lecture 1 Welcome

Lecture 2 Download your free study guide

Lecture 3 Exam Tips

Lecture 4 Personal Computers

Lecture 5 Safety Procedures

Lecture 6 Troubleshooting Methodology (OBJ. 5.1)

Lecture 7 Custom PC Build

Section 2: Cable Types

Lecture 8 Cable Types (OBJ. 3.1)

Lecture 9 Exterior of a PC (OBJ. 3.1)

Lecture 10 USB Cables (OBJ. 3.1)

Lecture 11 Video Cables (OBJ. 3.1)

Lecture 12 Storage Cables (OBJ. 3.1)

Section 3: Motherboards

Lecture 13 Motherboards (OBJ. 3.4)

Lecture 14 Form Factors (OBJ. 3.4)

Lecture 15 CPU Architecture (OBJ. 3.4)

Lecture 16 CPU Sockets (OBJ. 3.4)

Lecture 17 CPU Features (OBJ. 3.4)

Lecture 18 Motherboard Connections (OBJ. 3.4)

Lecture 19 Installing the Motherboard & CPU (OBJ. 3.4)

Lecture 20 Expansion Cards (OBJ. 3.4)

Lecture 21 Expansion Card Types (OBJ. 3.4)

Lecture 22 Installing Expansion Cards (OBJ. 3.4)

Section 4: Cooling and Power

Lecture 23 Cooling and Power (OBJ. 3.4 & 3.5)

Lecture 24 Cooling the System (OBJ. 3.5)

Lecture 25 Liquid Cooling (OBJ. 3.5)

Lecture 26 Installing Active Cooling (OBJ. 3.5)

Lecture 27 Power Supply Unit (PSU) (OBJ. 3.5)

Lecture 28 Power Supply Connectors (OBJ. 3.5)

Lecture 29 Input and Output Voltages (OBJ. 3.4)

Lecture 30 Wattage Rating (OBJ. 3.4)

Lecture 31 Installing a Power Supply (OBJ. 3.4)

Section 5: System Memory

Lecture 32 System Memory (OBJ. 3.2)

Lecture 33 Addressing Memory (OBJ. 3.2)

Lecture 34 Memory Modules (OBJ. 3.2)

Lecture 35 Multi-Channel Memory (OBJ. 3.2)

Lecture 36 ECC Memory (OBJ. 3.2)

Lecture 37 Virtual Memory (OBJ. 3.2)

Lecture 38 Installing Memory (OBJ. 3.2)

Section 6: BIOS/UEFI

Lecture 39 BIOS/UEFI (OBJ. 3.4)

Lecture 40 Boot Options (OBJ. 3.4)

Lecture 41 BIOS/UEFI Security (OBJ. 3.4)

Lecture 42 TPM and HSM (OBJ. 3.4)

Lecture 43 BIOS/UEFI Cooling Options (OBJ. 3.4)

Lecture 44 Configuring the BIOS (OBJ. 3.4)

Lecture 45 Configuring the UEFI (OBJ. 3.4)

Section 7: Storage Devices

Lecture 46 Storage Devices (OBJ. 3.3)

Lecture 47 Hard Disk Drive (HDD) (OBJ. 3.3)

Lecture 48 Solid State Drive (SSD) (OBJ. 3.3)

Lecture 49 RAID (OBJ. 3.3)

Lecture 50 Removable Storage (OBJ. 3.3)

Lecture 51 Optical Drives (OBJ. 3.3)

Lecture 52 Installing Storage Devices (OBJ. 3.3)

Lecture 53 Configuring a RAID (OBJ. 3.3)

Section 8: Virtualization Concepts

Lecture 54 Virtualization Concepts (OBJ. 4.2)

Lecture 55 Virtualization (OBJ. 4.2)

Lecture 56 Containerization (OBJ. 4.2)

Lecture 57 Purposes of VMs (OBJ. 4.2)

Lecture 58 Resource Requirements (OBJ. 4.2)

Lecture 59 Security Requirements (OBJ. 4.2)

Lecture 60 Configuring Virtual Machines (OBJ. 4.2)

Lecture 61 Securing Virtual Machines (OBJ. 4.2)

Section 9: Cloud Computing

Lecture 62 Cloud Computing (OBJ. 4.1 & 2.2)

Lecture 63 Characteristics of the Cloud (OBJ. 4.1)

Lecture 64 Cloud Deployment Models (OBJ. 4.1)

Lecture 65 Cloud Service Models (OBJ. 4.1)

Lecture 66 Virtual Desktop Infrastructure (VDI) (OBJ. 4.1)

Lecture 67 Cloud Storage Services (OBJ. 4.1)

Lecture 68 Software Defined Network (SDN) (OBJ. 2.2)

Lecture 69 Using the Cloud (OBJ. 4.1)

Section 10: Networking Basics

Lecture 70 Networking Basics (OBJ. 2.2, 2.4, 2.7, 2.8, & 3.1)

Lecture 71 Networking Hardware (OBJ. 2.2)

Lecture 72 Network Types (OBJ. 2.7)

Lecture 73 Internet of Things (OBJ. 2.4)

Lecture 74 Twisted Pair Cables (OBJ. 3.1)

Lecture 75 Optical Cabling (OBJ. 3.1)

Lecture 76 Coaxial Cabling (OBJ. 3.1)

Lecture 77 Networking Tools (OBJ. 2.8)

Lecture 78 Building a Cable (OBJ. 2.8)

Lecture 79 Wiring the Network (OBJ. 2.8)

Lecture 80 Testing the Network (OBJ. 2.8)

Section 11: Wireless Networks

Lecture 81 Wireless Networks (OBJ. 2.3)

Lecture 82 Wireless Frequencies (OBJ. 2.3)

Lecture 83 Wireless Standards (OBJ. 2.3)

Lecture 84 Wireless Security (OBJ. 2.3)

Lecture 85 Fixed Wireless (OBJ. 2.3)

Lecture 86 NFC, RFID, IR, and Bluetooth (OBJ. 2.3)

Lecture 87 Configuring a Wireless Network (OBJ. 2.3)

Section 12: Internet Connections

Lecture 88 Internet Connections (OBJ. 2.7)

Lecture 89 Dial-up and DSL (OBJ. 2.7)

Lecture 90 Cable Connections (OBJ. 2.7)

Lecture 91 Fiber Connections (OBJ. 2.7)

Lecture 92 Cellular Connections (OBJ. 2.7)

Lecture 93 WISP Connections (OBJ. 2.7)

Lecture 94 Satellite Connections (OBJ. 2.7)

Lecture 95 Hands-on with WANs (OBJ. 2.7)

Section 13: Network Configurations

Lecture 96 Network Configurations (OBJ. 2.1, 2.5, & 2.6)

Lecture 97 IPv4 (OBJ. 2.5)

Lecture 98 Assigning IPv4 Addresses (OBJ. 2.5)

Lecture 99 DHCP (OBJ. 2.6)

Lecture 100 DNS (OBJ. 2.6)

Lecture 101 VLAN (OBJ. 2.6)

Lecture 102 VPN (OBJ. 2.6)

Lecture 103 IPv6 (OBJ. 2.5)

Lecture 104 Ports and Protocols (OBJ. 2.1)

Lecture 105 TCP Versus UDP (OBJ. 2.1)

Lecture 106 Configure a SOHO Network (OBJ. 2.5)

Section 14: Network Services

Lecture 107 Network Services (OBJ. 2.4)

Lecture 108 File and Print Servers (OBJ. 2.4)

Lecture 109 Web Servers (OBJ. 2.4)

Lecture 110 Email Servers (OBJ. 2.4)

Lecture 111 AAA Servers (OBJ. 2.4)

Lecture 112 Remote Access Servers (OBJ. 2.4)

Lecture 113 Network Monitoring Servers (OBJ. 2.4)

Lecture 114 Proxy Servers (OBJ. 2.4)

Lecture 115 Load Balancers (OBJ. 2.4)

Lecture 116 Unified Threat Management (OBJ. 2.4)

Lecture 117 ICS/SCADA (OBJ. 2.4)

Lecture 118 Embedded Systems (OBJ. 2.4)

Lecture 119 Legacy Systems (OBJ. 2.4)

Section 15: Mobile Devices

Lecture 120 Mobile Devices (OBJ. 1.2, 1.3, & 1.4)

Lecture 121 Mobile Display Types (OBJ. 1.2)

Lecture 122 Mobile Device Components (OBJ. 1.2)

Lecture 123 Mobile Device Accessories (OBJ. 1.3)

Lecture 124 Mobile Device Wireless Connectivity (OBJ. 1.3 & 1.4)

Lecture 125 Mobile Device Wired Connectivity (OBJ. 1.3)

Lecture 126 Port Replicators & Docking Stations (OBJ. 1.3)

Section 16: Mobile Applications

Lecture 127 Mobile Applications (OBJ. 1.4)

Lecture 128 Mobile Device Synchronization (OBJ. 1.4)

Lecture 129 Data for Synchronization (OBJ. 1.4)

Lecture 130 Synchronization Methods (OBJ. 1.4)

Lecture 131 MDM and MAM (OBJ. 1.4)

Lecture 132 Multifactor Authentication (MFA) (OBJ. 1.4)

Lecture 133 Location Services (OBJ. 1.4)

Lecture 134 Mobile Email Configuration (OBJ. 1.4)

Lecture 135 Configuring Mobile Email (OBJ. 1.4)

Section 17: Laptop Hardware

Lecture 136 Laptop Hardware (OBJ. 1.1)

Lecture 137 Security Components (OBJ. 1.1)

Lecture 138 Disassembling a Laptop (OBJ. 1.1)

Lecture 139 Replacing a Battery (OBJ. 1.1)

Lecture 140 Replacing the Keyboard (OBJ. 1.1)

Lecture 141 Upgrading the Memory (OBJ. 1.1)

Lecture 142 Adding Expansion Cards (OBJ. 1.1)

Lecture 143 Replacing the Storage (OBJ. 1.1)

Section 18: Printers and MFDs

Lecture 144 Printers and MFDs (OBJ. 3.6)

Lecture 145 Unboxing and Setup (OBJ. 3.6)

Lecture 146 Printer Connectivity (OBJ. 3.6)

Lecture 147 Printer Drivers (OBJ. 3.6)

Lecture 148 Printer Configuration Settings (OBJ. 3.6)

Lecture 149 Sharing Print Devices (OBJ. 3.6)

Lecture 150 Securing Print Devices (OBJ. 3.6)

Lecture 151 Scanning Services (OBJ. 3.6)

Section 19: Printer Types

Lecture 152 Printer Types (OBJ. 3.7)

Lecture 153 Laser Printers (OBJ. 3.7)

Lecture 154 Laser Printer Maintenance (OBJ. 3.7)

Lecture 155 Inkjet Printers (OBJ. 3.7)

Lecture 156 Inkjet Printer Maintenance (OBJ. 3.7)

Lecture 157 Thermal Printers (OBJ. 3.7)

Lecture 158 Impact Printers (OBJ. 3.7)

Lecture 159 3-D Printers (OBJ. 3.7)

Section 20: Troubleshooting Methodology

Lecture 160 Troubleshooting Methodology (OBJ. 5.1)

Lecture 161 Identify the Problem (OBJ. 5.1)

Lecture 162 Establish a Theory (OBJ. 5.1)

Lecture 163 Test the Theory (OBJ. 5.1)

Lecture 164 Establish a Plan of Action (OBJ. 5.1)

Lecture 165 Verify System Functionality (OBJ. 5.1)

Lecture 166 Documentation (OBJ. 5.1)

Section 21: Troubleshooting Hardware Issues

Lecture 167 Troubleshooting Hardware Issues (OBJ. 5.2)

Lecture 168 Power Issues (OBJ. 5.2)

Lecture 169 POST Issues (OBJ. 5.2)

Lecture 170 Crash Screens (OBJ. 5.2)

Lecture 171 Cooling Issues (OBJ. 5.2)

Lecture 172 Physical Component Damage (OBJ. 5.2)

Lecture 173 Performance Issues (OBJ. 5.2)

Lecture 174 Inaccurate System Date/Time (OBJ. 5.2)

Lecture 175 Smoke Test (OBJ. 5.2)

Section 22: Troubleshooting Storage Devices

Lecture 176 Troubleshooting Storage Devices (OBJ. 5.3)

Lecture 177 Boot Issues (OBJ. 5.3)

Lecture 178 Storage Device Issues (OBJ. 5.3)

Lecture 179 Drive Performance Issues (OBJ. 5.3)

Lecture 180 Issues with RAIDs (OBJ. 5.3)

Section 23: Troubleshooting Video Issues

Lecture 181 Troubleshooting Video Issues (OBJ. 5.4)

Lecture 182 Physical Cabling and Source Selection (OBJ. 5.4)

Lecture 183 Projector Issues (OBJ. 5.4)

Lecture 184 Video Quality Issues (OBJ. 5.4)

Section 24: Troubleshooting Networks

Lecture 185 Troubleshooting Networks (OBJ. 5.7)

Lecture 186 Wired Connectivity Issues (OBJ. 5.7)

Lecture 187 Network Performance Issues (OBJ. 5.7)

Lecture 188 Wireless Connectivity Issues (OBJ. 5.7)

Lecture 189 VoIP Issues (OBJ. 5.7)

Lecture 190 Limited Connectivity Issues (OBJ. 5.7)

Section 25: Troubleshooting Mobile Devices

Lecture 191 Troubleshooting Mobile Devices (OBJ. 5.5)

Lecture 192 Mobile Power Issues (OBJ. 5.5)

Lecture 193 Mobile Hardware Issues (OBJ. 5.5)

Lecture 194 Mobile Display Issues (OBJ. 5.5)

Lecture 195 Mobile Connectivity Issues (OBJ. 5.5)

Lecture 196 Mobile Malware Infections (OBJ. 5.5)

Section 26: Troubleshooting Print Devices

Lecture 197 Troubleshooting Print Devices (OBJ. 5.6)

Lecture 198 Printer Connectivity Issues (OBJ. 5.6)

Lecture 199 Print Feed Issues (OBJ. 5.6)

Lecture 200 Print Quality Issues (OBJ. 5.6)

Lecture 201 Print Finishing Issues (OBJ. 5.6)

Lecture 202 Print Job Issues (OBJ. 5.6)

Section 27: Conclusion

Lecture 203 Conclusion

Lecture 204 BONUS: Where to go from here?

Anyone looking to take and pass the CompTIA A+ (220-1101) Core 1 certification exam

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Essential Unix Skills for Developers
Last updated 6/2023
Created by Terry Martin
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 76 Lectures ( 18h 1m ) | Size: 15.8 GB

Harness the powerful Unix command line within Linux, MacOS & other OSs to take your developer skills to the next level

What you'll learn
How to use the most common Unix tools and utilities
Working with Unix shells
Popular command-line editors like vi/vim & pico/nano
Numerous commands & techniques for manipulating text files and text output
Managing user accounts, adding/removing applications, working with processes
Useful networking-related commands to help you troubleshoot your web apps/services & network tools
Deploying apps to Linux servers as services & with Docker

Requirements
Windows 10 (capable of running WSL2), MacOS or Unix-like OS (Linux/FreeBSD/etc.)
Basic Computer Skills
At least beginner-level programming skill is helpful but NOT necessary
Strong desire/motivation to learn

Description
What do C, Go, Python, Perl, Java, Node.js, Git, SSH, Docker, Kubernetes, MySQL, SQLite, iOS, MacOS, Android and SO many more programming languages, tools & platforms have in common? They were all developed on Unix-related operating systems like Linux, MacOS (yes, MacOS IS Unix too), FreeBSD & many others. That means these tools are 1st-class citizens in Unix. Virtually every modern developer will interact with some aspect of Unix in their career whether they're using Git and GitHub or deploying their web applications and services to The Cloud, Unix is nearly inescapable. In this course, we'll teach you the basics of this amazing and powerful operating system so that you can get the most out of it and feel comfortable working with it to get useful work done. There's a reason Unix is so ubiquitous, and by the end of this course, you'll know exactly why.What's so special about Unix? It's an operating system that was designed by programmers for programmers. It's basically a giant open development platform. Unix doesn't try to hide its programming tools away from the casual user. Those tools are all up front and center, making it easy and pleasurable to develop sophisticated software and test it out on the platform. That's why so many of the world's most popular languages and development tools have been developed on Unix over the decades.Do you have to learn Unix to be a developer? No, of course not. But many developers are forced to interact with Unix-related technologies every day without realizing that's what they're doing. As a result, they stumble their way through cryptic-seeming commands and invocations without understanding the underlying technology and the systems and theories on which they are based. If one understands where these commands and techniques are coming from, they become much easier to master and they are much less intimidating. It is at this point that one can truly unleash the power of the tools.Let us help you to unleash that power for yourself to take your skillset to the next level.

Who this course is for
People just starting out in modern software development
Existing software developers who want to get more familiar with Unix/Linux/MacOS command line skills
People who want a deeper understanding of modern development environments & tools like git, Docker, etc.

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Dsp From Ground Up On Arm Processors [Updated]
Last updated 9/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 13.65 GB | Duration: 25h 26m

Digital Signal Processing on ARM : DFT, Filter Design, Convolution, IIR, FIR, CMSIS-DSP, Linear Systems



What you'll learn
Develop efficient DSP algorithms using MAC and SIMD instructions
Develop RealTime Digital Signal Proceesing firmware
Understand Cortex-M4, M7 DSP optimization strategies
Master the CMSIS-DSP Library
Develop and test the Convolution Kernel algorithm on ARM Processors
Perform convolution using the ARM CMSIS-DSP Library
Develop and test the Discrete Fourier Transform (DFT) algorithm on ARM Processors
Develop and test the Inverse Discrete Fourier Transform (IDFT) algorithm on ARM Processors
Develop and test the Fast Fourier Transform (FFT) algorithm on ARM Processors
Perform Fast Fourier Transform (FFT) using the CMSIS-DSP Library
Perform spectral analysis on ECG signals on ARM Processors
Develop Windowed-Sinc filters on ARM Processors
Develop Finite Impulse Response (FIR) filters on ARM Processors
Develop Infinite Impulse Response (IIR) filters on ARM Processors
Setup Finite Impulse Response (FIR) filters using the CMSIS-DSP Library
Setup Infinite Impulse Response (FIR) filters using the CMSIS-DSP Library
Build passive Low-pass and High-pass filters
Build Modified Sallen-Key filters
Build Bessel, Chebyshev and Butterworth filters
Suppress noise in signals
Give a lecture on Digital Signal Processing (DSP)

Requirements
No programming experience needed - I'll teach you everything you need to know.
You will need the STM32F411-NUCLEO Board
We shall be using the STM32 IDE which is FREE.

Description
Do you want to learn practical digital signal processing (dsp) without confusion?Here s an overview of what you re getting in this dsp on Arm processors course...Understanding the foundations of signal processing without complications:Before going on to implement practical dsp algorithms from scratch, this course teaches you the foundation of signal processing step-by-step. We shall look at key topics in signal processing including: -Signal statistics and noise -Quantization and sampling theorem -Analog filter design -Performance metrics of the Chebyshev, Butterworth, and Bessel filters -Linear systems and their properties. -Finite Impulse Response Filters (FIR) -Infinite Impulse Response Filters (IIR) -Superposition, synthesis, and decomposition. -Convolution and its properties -Discrete Fourier Transform (DFT) and IDFTDeveloping Digital Signal Processing Algorithms:We shall practically develop the signal processing algorithms we discussed in the theory class. Over here rather than use live signals we shall use some already acquired and generated signals to test our algorithms, to keep the focus on developing the algorithms and testing them, rather than signal acquisition.We shall develop the following algorithms: -Signal statistics algorithms: signal mean, signal standard deviation, signal variance -The Convolution algorithm -The Running Sum algorithm -The Discrete Fourier Transform (DFT) algorithm -The Inverse Discrete Fourier Transform (IDFT) algorithmWe shall also implement some of these algorithms using the CMSIS-DSP library and then compare the dynamic performance of our algorithm to that of the ones provided by CMSIS-DSP.Developing Drivers and Data Structures for Signal Acquisition:To be able to properly acquire signals from the external world and then apply our signal processing algorithms, we first need to develop analog-to-digital converter (ADC) drivers for acquiring the signals and appropriate data structures more storing and managing the signal. Over here we shall develop : -A bare-Metal ADC driver for acquiring the signal -A First-In-First-Out data structure for storing and managing the signal Digital Filter Design and Implementations:We shall learn about the various types of digital filters available and then go on to implement them from scratch. We shall implement: -The Moving Average Filter -The Finite Impulse Response (FIR) filter -The Infinite Impulse Response (IIR) FilterWe shall also see how to design the filter kernel of the finite impulse response filters using Matlab.Practical DSP Application on Live Signal:Over here, we shall apply all that we have learnt to process live signals from our microcontroller s ADC.This course is more than just getting the code to work. It will teach you how to . Write Practical DSP Algorithms WITHOUT a fancy Engineering DegreeYou will be able to understand the foundations of signal processing without the hassle of complex mathematical derivations. Taken by 3000+ Students with 200+ ReviewsThis course is the fully updated version of the 1st edition of the course. The first edition has been taken by over 3000 students with over 290 reviews. Here is what what one student had to say about the course."The information covered in this course is exactly what I needed to learn for a new assignment. Both general information about DSP as well as how to implement things on the ARM Cortex M4."Here is what another student had to say:"It is exciting to see how MATLAB is used in embedded systems for signal generation and filter design. The explanation here is simple and to the point. Keeps the viewer's interest captured and avoids unnecessary details."In summary, you really have nothing to lose. Give it a try, it comes with a full money back guarantee. Hope to see you in the course.

Overview

Section 1: Setting Up

Lecture 1 Downloading CubeIDE

Lecture 2 Installing CubeIDE

Lecture 3 Getting the required documentation

Lecture 4 Getting the required package for bare-metal development

Lecture 5 Testing the project setup

Section 2: Getting Stasrted

Lecture 6 Programming : Enabling the Floating Point Unit (FPU)

Lecture 7 Programming : Plotting Signals using the Internal Logic Analyzer

Lecture 8 Programming : UART Driver - Analyzing the Documentation

Lecture 9 Programming : UART Driver - GPIO Pin Configuration

Lecture 10 Programming : UART Driver - Protocol Paramters Configuration

Lecture 11 Programming : UART Driver - Transmission Function

Lecture 12 Programming : UART Driver - Testing the Driver

Lecture 13 Programming : UART Driver - Plotting Signals

Lecture 14 Programming : Integrating the CMSIS-DSP Library

Lecture 15 Programming : Testing the CMSIS-DSP float32_t

Section 3: Signal Statistics and Noise

Lecture 16 Introduction to Signals

Lecture 17 The Signal Mean and Standard Deviation

Lecture 18 Programming : Developing the Signal Mean Algorithm

Lecture 19 Programming : Developing the Signal Variance Algortihm

Lecture 20 Programming : Developing the Signal Standard Deviation Algorithm

Lecture 21 Programming : Computing the Signal Standard Deviation using CMSIS-DSP

Section 4: Quantization and The Sampling Theorem

Lecture 22 Understanding the Sampling Theorem

Lecture 23 The Passive Low-Pass Filter

Lecture 24 The Passive High-Pass Filter

Lecture 25 The Active Filter

Lecture 26 Chebyshev, Butterworth and Bessel Filters

Section 5: ARM Cortex-M DSP Support Features

Lecture 27 Overview of Arm Cortex-M DSP Support Features

Section 6: Linear Systems and Superposition

Lecture 28 Introduction to Linear Systems

Lecture 29 Understanding Superposition

Lecture 30 Impulse and Step Decomposition

Section 7: Convolution

Lecture 31 Introduction to Convolution

Lecture 32 The Convolution Operation

Lecture 33 Examining the Output of Convolution

Lecture 34 The Convolution Sum Equation

Lecture 35 Programming : Analyzing the Input Signals of Convolution

Lecture 36 Programming : Developing the Convolution Algorithm

Lecture 37 Programming : Analyzing the Output Signal of Convolution

Lecture 38 Programming : Computing Convolution using CMSIS-DSP

Lecture 39 Programming : Developing a SysTick Driver to Measure Dynamic Efficiency

Lecture 40 Programming : Measuring the Dynamic Performance of CMSIS-DSP (Part I)

Lecture 41 Programming : Measuring the Dynamic Performance of CMSIS-DSP (Part II)

Lecture 42 A closer look at the Delta function

Lecture 43 The First Difference and Running Sum

Lecture 44 Programming : Implementing the Running Sum Algorithm

Section 8: Discrete Fourier Transform (DFT)

Lecture 45 Introduction to Fourier Transform

Lecture 46 The Discrete Fourier Transform (DFT) Engine

Lecture 47 The Inverse Discrete Fourier Transform (IDFT)

Lecture 48 Programming : Developing the Discrete Fourier Transform (DFT) Algorithm

Lecture 49 Programming : Analyzing the ECG Signal for Inverse DFT

Lecture 50 Programming : Developing the Inverse DFT Algorithm (Part I)

Lecture 51 Programming : Developing the Inverse DFT Algorithm (Part II)

Section 9: Configuring the Clock Tree for Maximum Speed

Lecture 52 Programming : Analyzing the Documentation

Lecture 53 Programming : Listing out the Steps

Lecture 54 Programming : Implementing the Clock Config function (PartI)

Lecture 55 Programming : Implementing the Clock Config function (PartII)

Lecture 56 Programming : Testing the Clock Tree by Running Inverse DFT at 100Mhz

Section 10: Digital Filter Design

Lecture 57 Programming : Generating Signals with Matlab

Lecture 58 Programming : Combining Signals with Matlab

Lecture 59 Programming : Designing a Low-pass Filter Kernel in Matlab

Lecture 60 Programming : Designing a High-pass Filter Kernel in Matlab

Lecture 61 Programming : Analyzing Frequency Components of Signals in Matlab

Lecture 62 Programming : Designing Filters using the FDATool in Matlab

Lecture 63 Programming : Implementing a Digital Low Pass Filter on Embedded Device

Lecture 64 Programming : Implementing a Digital HighPass Filter on Embedded Device

Lecture 65 Programming : Comparing the DFT Results of the Embedded Device to Matlab

Lecture 66 Programming : Implementing a Moving Average Filter for Smoothening Noisy Signals

Section 11: Signal Processing on Live Sensor Data

Lecture 67 Programming : Developing a Bare-Metal ADC Driver- Analyzing the Documentation

Lecture 68 Programming : Developing a Bare-Metal ADC Driver- Initialization Function

Lecture 69 Programming : Developing a Bare-Metal ADC Driver- Testing the Driver

Lecture 70 Programming : Implementing a Live Sample-by-Sample FIR Filter (Part I)

Lecture 71 Programming : Implementing a Live Sample-by-Sample FIR Filter (Part II)

Section 12: Developing the First-In-First-Out (FIFO) Data Structure

Lecture 72 Programming : Implementing the Interface File

Lecture 73 Programming : Implementing the Initialization Function

Lecture 74 Programming : Implementing Fifo_Put Function

Lecture 75 Programming : Implementing the Fifo_Get Function

Lecture 76 Programming : Testing the FIFO

Section 13: Developing a Background Thread for Sampling Sensor Data

Lecture 77 Programming : Analyzing the Documentation

Lecture 78 Programming : Implementing the Intialization Function

Lecture 79 Programming : Testing the Background Thread

Section 14: Performing Digital Signal Processing on Blocks of Sensor Data

Lecture 80 Programming : Getting a Block of Sensor Data into the FIFO

Lecture 81 Programming : Reading from the FIFO

Lecture 82 Programming : Applying FIR Filters on a Block of Sensor Data

Lecture 83 Programming : Performing Convolution on a Block of Sensor Data using CMSIS-DSP

Lecture 84 Programming : Applying Moving Average Filters to a Block of Sensor Data

Section 15: -----------------START OF OLD VERSION OF THE COURSE --------------------------

Lecture 85 Introduction

Lecture 86 Updating and installing new packs

Lecture 87 Increasing System Clock Frequency

Lecture 88 Configuring the Logic Analyzer

Lecture 89 Configuring the Logic Analyzer (Part 2 )

Lecture 90 Plotting signals on the Logic Analyzer

Lecture 91 Plotting signals on the Logic Analyzer (Part 2)

Lecture 92 Configuring an FIR Low-pass filter

Lecture 93 Configuring an FIR Low-pass filter (Part II)

Lecture 94 Testing the Lowpass filter

Lecture 95 Testing the Lowpass filter (Part II)

Lecture 96 Generating a sine wave

Lecture 97 Generating a sine wave (Part 2)

Section 16: Getting Started with Real-time Digital Signal Processing

Lecture 98 Setting up the project

Lecture 99 Configuring the FIR filter

Lecture 100 Configuring the sine generator

Lecture 101 Filtering a noisy signal

Lecture 102 Plotting filter results

Lecture 103 Configuring the Real-time Kernel

Lecture 104 Creating Threads

Lecture 105 Synchronizing Threads

Section 17: Signal Statistics and Noise

Lecture 106 Nature of a signal

Lecture 107 Mean and Standard Deviation

Lecture 108 Coding : Developing the Mean algorithm (Part II)

Lecture 109 Loop Iterator

Lecture 110 Coding : Developing the Mean algorithm (Part II)

Lecture 111 Coding : Developing the Mean algorithm (Part III )

Lecture 112 Coding : Developing the Variance algorithm

Lecture 113 Coding : Computing the signal variance using CMSIS-DSP

Lecture 114 Coding : Developing the Standard Deviation algorithm

Lecture 115 Coding : Computing signal standard deviation using CMSIS-DSP

Lecture 116 Signal-to-Noise ratio

Section 18: Quantization and The Sampling Theorem

Lecture 117 Quantization

Lecture 118 Nyquist Theorem ( Sampling Theorem )

Lecture 119 The Passive Low-Pass Filter

Lecture 120 The Passive High-Pass Filter

Lecture 121 The Modified Sallen-Key Filter

Lecture 122 The Bessel, Chebyshev and Butterworth filters

Lecture 123 Comparing the performance of the Bessel, Chebyshev and Butterworth filters

Lecture 124 Information encoding : Time-domain and frequency-domain encoding

Section 19: ARM Cortex-M DSP Support Features

Lecture 125 From Digital Signal Processors (DSPs) to Digital Signal Controllers (DSCs)

Lecture 126 Features of Digital Signal Controllers

Lecture 127 Overview of the Floating Point Unit (FPU)

Lecture 128 Overview of Cortex-M SIMD Capabilities

Lecture 129 Overview of Cortex-M MAC Capabilities

Lecture 130 Overview of CMSIS-DSP

Lecture 131 Data Types

Section 20: Linear Systems and Superposition

Lecture 132 Signal naming conventions

Lecture 133 System Homogeneity

Lecture 134 System Additivity

Lecture 135 System Shift Invariance

Lecture 136 Synthesis and Decomposition

Lecture 137 Impulse Decomposition

Lecture 138 Step Decomposition

Section 21: Convolution

Lecture 139 Introduction to Convolution

Lecture 140 The Delta Function and Impulse Response

Lecture 141 The Convolution Kernel

Lecture 142 The Convolution Kernel (Part II)

Lecture 143 The Output side analysis and the convolution sum equation

Lecture 144 Coding : Developing the convolution algorithm (Part I)

Lecture 145 Coding : Developing the convolution algorithm (Part II)

Lecture 146 Coding : Developing the convolution algorithm (Part III )

Lecture 147 Coding : Convolving signals using CMSIS-DSP (Part I)

Lecture 148 Coding : Convolving signals using CMSIS-DSP (Part II)

Lecture 149 Coding : Convolving signals using CMSIS-DSP (Part III)

Lecture 150 The Identity property of convolution

Lecture 151 The Running Sum and First Difference

Lecture 152 Coding : Developing the Running Sum algorithm

Lecture 153 Coding : Developing the First Difference algorithm

Section 22: Fourier Transform

Lecture 154 Introduction to Fourier Analysis

Lecture 155 Introduction to Discrete Fourier Transform

Lecture 156 DFT Basis Functions

Lecture 157 Deducing the Inverse DFT

Lecture 158 Calculating the Discrete Fourier Transform (DFT)

Lecture 159 Coding : Developing the DFT algorithm (Part I)

Lecture 160 Coding : Developing the DFT algorithm (Part II )

Lecture 161 Coding : Developing the DFT algorithm (Part III )

Lecture 162 Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part I)

Lecture 163 Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part II)

Lecture 164 Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part IIII)

Lecture 165 Coding : The Inverse Discrete Fourier Transform of an ECG signal (Part IV)

Lecture 166 Symmetry between Time domain and frequency domain -Duality

Lecture 167 Polar Notation

Lecture 168 Coding : Rectangular to Polar conversion

Lecture 169 Coding : Polar to Rectangular conversion

Lecture 170 Introduction to Spectral Analysis

Lecture 171 The Frequency Response

Lecture 172 The Complex Number System

Lecture 173 Polar Representation of Complex Numbers

Lecture 174 Euler's Relation

Lecture 175 Representation of Sinusoids

Lecture 176 Representing Systems

Lecture 177 Introduction to Complex Fourier Transform

Lecture 178 Mathematical Equivalence

Lecture 179 The Complex DFT Equation

Lecture 180 Comparing Real DFT and Complex DFT

Section 23: Fast Fourier Transform (FFT)

Lecture 181 An Overview of how FFT works.

Lecture 182 Understanding the complexity of calculating DFT directly

Lecture 183 How the Decimation -in-Time FFT Algorithm works

Section 24: Digital Filter Design

Lecture 184 Introduction to Digital Filters

Lecture 185 The Filter Kernel

Lecture 186 The Impulse,Step and Frequency response

Lecture 187 Understanding the Logarithmic scale and decibels

Lecture 188 Information representations of a signal

Lecture 189 Time domain parameters

Lecture 190 Frequency domain parameters

Lecture 191 Designing digital filters using the spectral inversion method

Lecture 192 Designing digital filters using the spectral reversal method

Lecture 193 Classification of digital filters

Section 25: Designing Finite Impulse Response (FIR) Filters

Lecture 194 The Moving Average Filter

Lecture 195 Coding : Developing the Moving Average filter algorithm (Part I)

Lecture 196 Coding : Developing the Moving Average filter algorithm (art II)

Lecture 197 The Multiple Pass Moving Average Filter

Lecture 198 The Recursive Moving Average Filter

Lecture 199 Coding : Developing the Recursive Moving Average filter algorithm (Part I)

Section 26: Designing Infinite Impulse Response (IIR) Filters

Lecture 200 Introduction to Recursive Filters

Lecture 201 The Recursion Equation

Lecture 202 The Single-Pole Recursive Filter

Lecture 203 Digital Chebyshev Filters

Section 27: Designing Windowed-Sinc Filters

Lecture 204 Introduction to Windowed-Sinc Filters

Lecture 205 The Sinc Function and the Truncated Sinc Filter

Lecture 206 The Blackman window

Lecture 207 The Hamming and Blackman window equations

Lecture 208 Designing the Windowed Sinc filter

Section 28: FFT Convolution

Lecture 209 Understanding how the Overlap-Add method works

Lecture 210 Understanding how FFT-Convolution works

Lecture 211 Understanding fractional representation

Lecture 212 Introduction to CMSIS-RTOS

Lecture 213 Thread Management APIs

Lecture 214 Coding : Thread Creation (PART I)

Lecture 215 Coding : Thread Creation (PART II)

Lecture 216 osTime Management

Lecture 217 Setting Up Virtual Timers

Lecture 218 Creating Periodic Threads

Lecture 219 What is FreeRTOS ?

Lecture 220 Features of FreeRTOS

Lecture 221 FreeRTOS Variable Names

Lecture 222 FreeRTOS Function Names

Lecture 223 The Task Function

Lecture 224 Creating a Task

Lecture 225 Coding : Task Creation

Lecture 226 Coding : Task Priorities

Lecture 227 Creating efficient delays with vTaskDelay( )

Section 29: DSP Instructions on the ARM Cortex-M

Lecture 228 Getting familiar with some useful SIMD instructions

Lecture 229 Getting familiar with some useful SIMD instructions( Part I)

Lecture 230 Overview of 32-bit DSP Arithmetic Instructions

Lecture 231 Overview of 32-bit Arithmetic Instructions (Part II )

Lecture 232 Overview of 16-bit Arithmetic Instructions

Lecture 233 Overview of 8-bit Arithmetic Instructions

Lecture 234 Overview of Floating Point Instructions

Section 30: Cortex-M4, M7 DSP Optimization Strategies

Lecture 235 Optimization strategies (Part I )

Lecture 236 Optimization strategies (Part II )

Section 31: Setting Up

Lecture 237 Overview of the STM32F4-DISCOVERY Board

Lecture 238 Overview of the STM32F4- NUCLEO Board

Lecture 239 Downloading Keil uVision 5

Lecture 240 Installing Keil uVision 5

Lecture 241 Overview of Keil uVision 5

Lecture 242 Changing the Compiler

Lecture 243 Setting Up STM32CubeMX

Lecture 244 Overview of STM32CubeMX

Lecture 245 Overview of STM32CubeMX (continued)

Lecture 246 Checking for Updates and Firmware

Lecture 247 Overview of Peripheral Configuration

Lecture 248 CubeMX Input/Output project

Lecture 249 Clock Tree configuration

Lecture 250 The Configuration Tab

Section 32: Setting Up Matlab

Lecture 251 Downloading Matlab

Lecture 252 Installing Matlab

Lecture 253 Overview of Matlab

Lecture 254 Coding : Writing to a file

Lecture 255 Coding : Reading from a file

Section 33: Closing Remarks

Lecture 256 Closing Remarks

If you are an experienced embedded developer and want to learn how to professionally develop embedded applications for ARM processors, then take this course.,If you are an absolute beginner to embedded systems, then take this course.

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Software Testing Made Easy 2022
Published 10/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 100 lectures (35h 28m) | Size: 16.6 GB

A to Z almost everything you need to learn to excel in Software Testing in 2022

What you'll learn
Learn the core testing skills needed to apply for Software Testing positions in just 7 hours.
Test tooling, JIRA, Confluence, TestRail, TestLodge, Charles Proxy, Postman, gitHub and Miro which will help you to be a great software tester.
Learn all the hot topics in the IT industry.
Be able to demonstrate your understanding of software testing to future employers.

Requirements
NO Prior Knowledge Required !!

Description
Welcome to "Software Testing Made Easy 2022 "

Hi, My name is Rohit and I teach Computer Science and several programming languages. I have worked in top MNC's like Google, IBM, TCS. I have a training institute where I am training students in various programming languages since 7yrs. I train over 800 students per year and trained 9100+ students till now!!

The course contents are mostly interactive video lectures. I as a Good Instructor, will encourage absolute beginners to follow the lectures and will motivate in the right direction. You as a sincere student should start from the very first video and proceed one by one .

The course is for anyone who may or may not have any previous experience of testing. We will go from the very basic to the advanced topics. Simple program to complex one step by step.

WHAT YOU ARE GETTING IN THE COURSE

100 Full Fledged Crisp and Detailed Lectures

35 Hours+ Video on Demand

Full Course at a very Low Cost

A great trainer with 7 yrs+ experience

The Curriculum is very practical as it guides you from start to finish on the path to become professional in Software Testing. We'll start by teaching you the basics of Software Testing and the basics of programming. Then move on to advanced Software Testing topics.

We will continue to provide really helpful tips and we will provides plenty of other references.

Why Take This Software Testing Made Easy 2022

Interesting: No boring lectures. It walks you through fun and useful tasks.

Unforgettable: Learn the 'why' behind every action, remember concepts so you can apply them later.

Perfect length. The course is 35 hours long.

Perfectly Paced: Learn the basics of Software Testing at a beginner's pace. This means you're never left behind and don't waste time on irrelevant filler material.

Still Worried !!

Here's the Panacea, NO QUESTIONS ASKED

Udemy's money-back guarantee !!

ENROLL NOW

Who this course is for
Anyone who wants to learn how to use Software Testing.
This course is perfect for absolute beginners with no previous testing experience.
Anyone who wants to learn more testing!
Those looking to build software testing knowledge and get a job in the IT industry.

Code:

https://anonymz.com/?https://www.udemy.com/course/software-testing-made-easy-2022/

Code:

https://rapidgator.net/file/24e904556768d1eb410e5bb4b0867ee3/Software_Testing_Made_Easy_2022.part1.rar
https://rapidgator.net/file/a8d6070ce01a07f464485594a4cf49f4/Software_Testing_Made_Easy_2022.part2.rar
https://rapidgator.net/file/c45c5175a81923e76b2d429abcddae49/Software_Testing_Made_Easy_2022.part3.rar
https://rapidgator.net/file/e8838624b7a9eec98c66334a89732a18/Software_Testing_Made_Easy_2022.part4.rar

Code:

https://nitroflare.com/view/047955A1CA06682/Software_Testing_Made_Easy_2022.part1.rar
https://nitroflare.com/view/39719340A5A4091/Software_Testing_Made_Easy_2022.part2.rar
https://nitroflare.com/view/491845293C5EA17/Software_Testing_Made_Easy_2022.part3.rar
https://nitroflare.com/view/B0336CC06AA486C/Software_Testing_Made_Easy_2022.part4.rar

Master calculus 1 using Python: derivatives and applications
Last updated 11/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 178 lectures (41h 25m) | Size: 12 GB

Develop a deep understanding and intuition for calculus. Solve problems and implement algorithms by hand and in Python

What you'll learn
Differential calculus
Mathematical functions (rational, polynomial, transcendantal, trig)
Limits and tricks for solving limits problems
Differentiation rules
Tips and tricks for differentiation
Proofs
Python (numpy and sympy)
Numerical processing
Applied calculus
Visualizing math functions (matplotlib)

Requirements
Basic high-school math
No programming experience needed
No prior experience with calculus needed!

Description
The beauty and importance of calculus

Calculus is a beautiful topic in mathematics. No, really!

At its heart, calculus is about change. Life is full of change, and calculus is the language that humans developed (invented or discovered -- that's an ongoing debate!) to understand how physical, biological, and abstract systems change. Calculus is more than just some equations you have to memorize; it's a way of looking at the world and trying to understand how the tiniest infinitesimal changes can lead to gigantic complexity bigger than the imagination.

OK, but aside from all that fluff, calculus is also really important for basically every piece of engineering and digital technology that has touched humanity. Indeed, the history of calculus is the history of civilization.

You want to learn data science? => You need calculus.

You want to learn machine-learning? => You need calculus.

You want to learn deep learning? => You need calculus.

You want to learn computational science? => You need calculus.

You want to learn... I think you see the pattern here ;)

Why learn calculus?

There are three reasons to learn calculus.

It has applications for understanding data science and machine-learning algorithms, but it's also a beautiful topic in its own right.

Learning math will train your critical thinking and reasoning skills. Any branch of mathematics will train your brain, but calculus especially so, because doing calculus is a lot of like running scientific experiments -- generate hypotheses, test them in experiments by holding variables constant, and measuring the output.

It's a better hobby than sitting around watching netflix. Seriously. Learning math will help protect you from age-related cognitive decline. Challenge your mind to keep it sharp!

Learn calculus the traditional way or the modern way?

So, how do you learn calculus? You can learn it the way most people do -- by watching someone else scratch on a chalkboard while you furiously take notes and try to decipher their sloppy handwriting, all the while having a little voice in your head telling you that you don't get it because you're not smart enough.

Or you can try a different approach.

I follow the maxim "you can learn a lot of math with a bit of coding." In this course, you will use Python (mostly the numpy and sympy libraries) as a novel tool to help you learn concepts, proofs, visualizations, and algorithms in calculus.

So this is just about coding math?

No, this course is not about coding math. And it's not about using Python to cheat on your math homework. Python's symbolic math and plotting engines are incredibly powerful -- and yet underutilized -- tools to help you learn math. By translating formulas into code, implementing algorithms, and solving challenging coding exercises, you will gain a deep knowledge of concepts in calculus.

And the graphics engine in Python will let you see equations and functions in a way that helps you develop intuition for why functions behave the way they do.

You will also learn the limits of computers for learning calculus, and why you still need to use your brain and freshly developed calculus skills.

New to Python?

Python is a popular multi-purpose programming language that is light-weight and free. If you are new to Python, then don't worry! This course comes with a 7+ hour Python coding tutorial (potentially up to 12 hours if you complete all the exercises) that is designed for beginners and will teach you the coding skills you'll need for this course.

Are there exercises?

Everyone knows that you need to solve math problems to learn math. This course has exercises for you to solve in nearly every video -- and I explain the answers to every single exercise (not only the odd-numbered ones, lol).

But wait, there's more! I don't just give you problems to work on; I will teach you how to create your own exercises (and solutions) so you can custom-tailor your own homework assignments to practice exactly the skills you most need to work on. Because you know, "give someone a fish" versus "teach someone to fish."

Is this the right course for you?

One thing I've learned from 20+ years of teaching is that no two learners are the same, which means that no course will be right for everyone. I hope you find this course a valuable learning resource -- and fun to work through! -- but the reality is that this course won't be ideal for everyone. Please watch the preview videos and check out the reviews before enrolling.

And if you enroll but then decide that this course isn't a good match for you, then that's fine! Check out Udemy's 30-day return guarantee.

Who this course is for
Calculus students looking for better educational material
Mathematicians who want to implement math in code
Coders who want to use Python to learn math
Data scientists (current or aspiring)
Machine-learning and A.I. enthusiasts
Anyone curious about the amazing beauty of calculus on computers!
Anyone looking for an intellectually stimulating hobby

Code:

https://anonymz.com/?https://www.udemy.com/course/pycalc1_x/

Code:

https://rapidgator.net/file/d726d4ad412fa1830b094f35500c392d/Master_calculus_1_using_Python_derivatives_and_applications.part1.rar
https://rapidgator.net/file/9e453b8c68d4fc5b38659f8cb146dadb/Master_calculus_1_using_Python_derivatives_and_applications.part2.rar
https://rapidgator.net/file/d807b2489fd0068302a54f6969f6f634/Master_calculus_1_using_Python_derivatives_and_applications.part3.rar

Code:

https://nitroflare.com/view/39CC624184C400C/Master_calculus_1_using_Python_derivatives_and_applications.part1.rar
https://nitroflare.com/view/64CA6A471172254/Master_calculus_1_using_Python_derivatives_and_applications.part2.rar
https://nitroflare.com/view/EAFB63AF0DBA489/Master_calculus_1_using_Python_derivatives_and_applications.part3.rar

Acloud Guru - AWS Certified Solutions Architect - Associate (SAA-C03)
Last Updated 4/2023
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 214 Lessons (25h 4m) | Size: 16.8 GB

The AWS Certified Solutions Architect Associate is one of the most demanded certifications. Take your career to the next level with essential skills for implementing cloud initiatives

AWS Certified Solutions Architect is among the most valuable and sought-after cloud computing certifications in the world. We designed this cloud architect certification training for anyone seeking to learn the major components of Amazon Web Services (AWS). By the end of the course, you ll be prepared to pass the associate-level AWS Certified Solutions Architect certification exam.

Who Is This Course For?
We ll start with a broad overview of the AWS platform. No programming knowledge is needed, and no prior AWS experience is required. Even if you have never logged in to the AWS platform before, you ll build the foundations to pass the AWS Certified Solutions Architect exam after completing our certification training.

What Is Included in This Course?
We know you re busy, so our training course is made up of 5- to 15-minute videos that can be viewed at your convenience. Our video lessons keep it simple, explaining things clearly and succinctly. Together, we ll walk you through each of the major areas of Amazon Web Services, step by step. Using real-life examples, we will practice how to effectively design and manage application infrastructure using AWS. At the end of each section, we ll also test your knowledge with short quizzes to make sure you ll be ready for the exam.

What Skills Will You Learn?
Not only will we cover the fundamentals of AWS architectural principles and services, we will also dive into each of the individual elements: IAM, S3, CloudFront, Storage Gateway, Snowball, EC2, CloudWatch, CLI, Lambda, Route 53, RDS, DynamoDB, Redshift, ElastiCache, Aurora, VPC, SQS, SNS, Elastic Transcoder, Kinesis, API Gateway, and so on.

AWS is constantly evolving their platform. We will continuously update this course with new content so you will never have to worry about missing out or failing the AWS certification test because of new content.

The ideal student for this course is ready to quickly break into cloud computing. You don t have hours to spend on training. We get you up to speed in half the time as other certification courses. The course will help you prepare for a position as a qualified AWS solutions architect.

At the end of this course, you ll be able to confidently take the associate-level AWS Certified Solutions Architect exam!


Homepage

Code:

https://anonymz.com/?https://acloudguru.com/course/aws-certified-solutions-architect-associate-saa-c03

Code:

https://rapidgator.net/file/aa45cd4f060dbc77d3eb000e6b3717c7/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part1.rar
https://rapidgator.net/file/283ba20caa11382e111b6500f3852b54/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part2.rar
https://rapidgator.net/file/360d353628bd5e1b8b6a4c33246fe602/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part3.rar
https://rapidgator.net/file/f600d31dce8c41eb9959f08fa65e56d6/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part4.rar

Code:

https://nitroflare.com/view/BD11EEBF7C3873C/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part1.rar
https://nitroflare.com/view/AD4CE5899A4628D/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part2.rar
https://nitroflare.com/view/90C34DC3318463D/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part3.rar
https://nitroflare.com/view/0EE5ED1A724A326/AWS_Certified_Solutions_Architect_-_Associate_SAA-C03.part4.rar

Python Learning for Network Engineers Automation Masterclass
Last updated 7/2023
Created by Shibi Dev
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 205 Lectures ( 28h 2m ) | Size: 10.1 GB

100% Hands-on Python training session with real time Network Automation usecases (SSH, NETCONF, RESTCONF& API examples)

What you'll learn
Master Python Network Automation concepts from scratch. No prior coding experience is needed
Learn about Paramiko, Netmiko, NAPALM, Nornir, NETCONF, RESTCONF, YANG Models, Ncclient,API Requests, IPAddress libraries in python for Network automation
Acclerate your career to become the future-ready Network Automation Engineer
Learn to automate SSH, NETCONF, RESTCONF and API device interactions using Python
Learn to automate day to day Network Device configuration tasks and solve realtime Networking Automation usecases in more practical way
Learn to setup Ubuntu OS and PyCharm for your Network Automation Journey
Learn to do the Network Sniffing anf Packet capture using Python
Learn to prase device configuration using RegularExpression
Learn about SSH Keybased Authentication
Learn all the Python3 core concepts from Network context
Learn to use Jinja2 templates and textfsm in your scripts
Learn to use functions and Classes in Python for Network Automation
Learn about scheduling the task execution and logging the script execution results
Create and use CSV, YAML, JSON, XML files in your Python Automation scripts and device configurations

Requirements
No prior Python knowledge is required. You will learn everything you need to know
Need knowledge on basic Networking concepts (What is SSH, Basic Interface Configurations in Router and Switches)
Basics of Routing Protocols (static routes and dynamic routes) and Switching Protocols (vlans and vtp) configuration knowledge
Through out the session we will be using Linux Ubuntu OS (in Virtual box or VMWare Player)
Understanding on setting up Cisco images in: GNS3 or EVE-NG
Softwares used: Ubuntu OS, Python3, PyCharm, GNS3 or EVE-NG

Description
Learn Network Automation skills from scratch to an advanced level. For attending this course you don't need any prior coding experience.You will be learning all the required Python concepts in a practical way with Networking ExamplesThis will help you to get into the exciting world of most trending technology and raise your earning potential.This course is designed for Network Engineers with less or no coding experience.Throughout the session, we will be using Linux OS(preferably Ubuntu) for running Python scripts.The IDE is PyCharm and Cisco devices will be used for demonstrating most of the device interactions. (vIOS, IOS-XE, NXOS etc)The course will be starting with SSH fundamentals Initially, Course will take you through Paramiko, Netmiko, NAPALM and Nornir Libraries' fundamentalsParamiko invoke_shell and exec_command methodsMethods supported in Netmiko for device interactionsHow to do Configuration parsing using Regular Expressions over SSHHow to enable logging in the script with a log file or event email triggersHow to schedule the Script execution without keeping the terminal openedHow to do IP address and subnet validations using PythonHow to do multithreading for parallel execution on multiple devicesRead and write contents to a text file, JSON, YAML, and XMLManage device inventories or config details in CSV filesRead the configuration data from CSV, YAML, JSON, or text filesHow to use textfsm templateHow to use Jinja2 templates for creating multiline configuration templates with loops or conditionsHow to use NAPALM for multivendor supportHow to use getters in NAPALMHow to use config merge, config compare, config replace and config rollback in NAPALMcreateWhat is Nornir FrameworkHow to create an inventory file in NornirHow to create tasks in NornirWhat are plugins in NornirNETCONF/YANG Data models with real-time examplesNetconf Automation using Python NcclientRESTCONF API Automation using RequestsRaspberry Pi Mocropython Network Monitoring and Automation examplesCourse Update log (Latest Topics):June 2023: Raspberry Pi Micro PythonMay 2023: Command Line Arguments using ArgparseApril 2023:VMWare ESXi CLI automation using PythonPython Fundamentals Covered:Strings and String MethodsBytes and UnicodeException handlingstdin, stdout, stderr in PythonFile OperationsConfig HTML Comparison using PythonRegex FundamentalsFor loopWhile loopif, else, elifFunctions and ModulesObject Oriented Programming: Classes BasicsMultithreadinglists, dictionaries, and its methodssets, tuples Pycharm debug ExampleMutable vs ImmutabledatetimescheduleLoggingEnumerateTabulateI temgettesList comprehensioncopy and deep copysubprocessJSONXMLYAMLMocropython for beginners

Who this course is for
Network Engineers, Network Administrators, Network Operators
Network Architects
System Administrators, System Engineers
DevOps Engineers
Cisco Certified Professionals
CCNA, CCNP, CCIE Professionals
All the Python Network Automation enthusiast
Python developer who want to understand Networking Libraries
Network Analyst

Code:

http://anonymz.com/?https://www.udemy.com/course/python-for-network-engineers/

Code:

https://rapidgator.net/file/523e59745eb80ad79adcf700482b1418/Python_Learning_for_Network_Engineers_Automation_Masterclass.part1.rar
https://rapidgator.net/file/0a5da31bc9c2016b7b50b69d6a8f8ae2/Python_Learning_for_Network_Engineers_Automation_Masterclass.part2.rar
https://rapidgator.net/file/5e76a7b372880e0ee5f1b2b1ef703ee0/Python_Learning_for_Network_Engineers_Automation_Masterclass.part3.rar

Code:

https://nitroflare.com/view/3144E08FD1FEC75/Python_Learning_for_Network_Engineers_Automation_Masterclass.part1.rar
https://nitroflare.com/view/C6A75490DB8EB3D/Python_Learning_for_Network_Engineers_Automation_Masterclass.part2.rar
https://nitroflare.com/view/000545F3265C48F/Python_Learning_for_Network_Engineers_Automation_Masterclass.part3.rar