Free GitHub Copilot for Software Testing Course

GitHub Copilot for Software Testing in JavaScript

• Lesson 01: Course Introduction

  05:33

  • 1.01 Course Introduction GitHub Copilot in Software Testing with Javascript

    01:30

  • 1.02 Kickstarting Github Copilot in Software Testing with JavaScript

    04:03

• Lesson 02: Learning Objective

  00:45

  • 2.01 Learning Objective

    00:45

• Lesson 03: Introduction to Generative AI in Testing

  16:58

  • 3.01 Software Testing Basics and How Generative AI Enhances It

    00:57

  • 3.02 Traditional vs Generative AI Testing​

    01:16

  • 3.03 Generative AI in Software Testing How It Works and Its Key Benifits

    02:36

  • 3.04 Demo Comparing Traditional and GitHub Copilot AI Based Test Case Creation

    12:09

• Lesson 04: Software Testing Phases - The Generative AI Way

  03:49

  • 4.01 Software Testing Phases The Generative AI Way​

    03:49

• Lesson 05: GenAI Requirement Analysis

  19:58

  • 5.01 How GenAI Helps in Understanding and Refining Requirements

    02:36

  • 5.02 How GenAI Helps Create Acceptance Criteria from User Stories

    02:08

  • 5.03 Demo Analyzing Requirements Using GitHub Copilot Part 1

    06:21

  • 5.04 Demo Analyzing Requirements Using GitHub Copilot Part 2

    08:53

• Lesson 06: GenAI Test Planning

  14:11

  • 6.01 GenAI Test Planning ​

    03:21

  • 6.02 Demo Optimizing Test Planning for Healthcare Analytics Platform Using GitHub Copilot

    10:50

• Lesson 07: Phases of Testing in Generative AI

  51:45

  • 7.01 Generative AI in Software Testing Phases Applications and Automated Test Case Generation

    05:25

  • 7.02 Demo Automating Test Case Generation Using GitHub Copilot

    11:14

  • 7.03 GenAI in Software Testing Data and Scenario Generation

    04:11

  • 7.04 Demo Creating and Executing Scenario Based Testing Using GitHub Copilot

    09:43

  • 7.05 Regression Testing Optimization and Its Benefits

    01:58

  • 7.06 Failure Prediction and Analysis

    01:21

  • 7.07 Failure Prediction and Analysis Benefits

    01:50

  • 7.08 Dynamic Test Case Adjustment

    01:01

  • 7.09 Exploratory Testing Support

    01:06

  • 7.10 Integration with Testing Tools and Examples

    01:37

  • 7.11 Demo Creating Dynamic Test Cases and Integrating GitHub Actions with GitHub Copilot

    12:19

• Lesson 08: GenAI Test Case Development

  30:08

  • 8.01 Role of GenAI in Test Case Development

    02:02

  • 8.02 Generating Test Cases Synthetic Data and Augmented Test Data Examples

    03:18

  • 8.03 Demo Generating Synthetic and Augmented Datasets Using Github Copilot

    11:05

  • 8.04 Creating Prioritizing and Automating Test Scenarios Example

    03:57

  • 8.05 Demo Automating Test Case Prioritization and Documentation Using GitHub Copilot

    09:46

• Lesson 09: GenAI Environment Setup

  02:09

  • 9.01 Role of GenAI in Environment Setup

    02:09

• Lesson 10: GenAI Test Execution

  12:45

  • 10.01 Role of GenAI in Test Execution

    02:42

  • 10.02 Demo Optimizing Test Execution Using GitHub Copilot

    10:03

• Lesson 11: GenAI Test Cycle Closure

  05:34

  • 11.01 Role of GenAI in Test Cycle Closure​

    01:33

  • 11.02 Demo Automating Test Cycle Closure Using GitHub Copilot

    04:01

• Lesson 12: Bug Detection

  09:56

  • 12.01 Understanding Bug Detection and Its Methods

    02:38

  • 12.02 Generative AI in Bug Detection

    01:55

  • 12.03 Bug Detection Using GitHub Copilot

    01:06

  • 12.04 Demo Bug Detection Using GitHub Copilot

    04:17

• Lesson 13: Future Trends

  02:30

  • 13.01 Emerging Trends and Advancements in Generative AI Testing

    02:30

• Lesson 14: Case Study

  04:32

  • 14.01 Case Study Microsoft Enhancing Software Testing Efficiency with GitHub Copilot

    04:32

• Lesson 15: Key Takeaways

  01:04

  • 15.01 Key Takeaways

    01:04

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