Course Overview
GitHub Copilot Masterclass: AI-Powered Development is a comprehensive course designed to help developers master GitHub Copilot for code completion, AI chat, testing, debugging, and enterprise configuration. The course covers installation, configuration, troubleshooting, and advanced workflows to enhance productivity using AI-powered tools.
Key Takeaways
- Install, configure, and troubleshoot GitHub Copilot in your IDE
- Use Copilot for code completion and customize suggestions to your style
- Master Copilot Chat, slash commands, and CLI for faster coding
- Write test suites, identify edge cases, and generate test assertions with AI
- Modernize legacy code and debug more efficiently using AI assistance
- Configure enterprise policies, knowledge bases, and content exclusions
Prerequisites
- Basic understanding of programming concepts and at least one programming language
- A code editor or IDE installed (such as VS Code) and a GitHub account
Target Learners
- Developers who want to code faster and more efficiently using AI assistance
- Beginners looking to get started with GitHub Copilot from installation to advanced use
- Software engineers who want to improve their testing, debugging, and documentation workflows
- Development teams and organizations planning to roll out GitHub Copilot at scale
- Engineers working with legacy codebases who want to modernize and refactor with AI
- QA engineers and testers interested in using AI to write test suites and assertions
- Tech leads and DevOps professionals responsible for configuring Copilot policies and security settings
- Anyone curious about integrating AI into their daily development workflow
Introduction to GitHub Copilot 5:08
Installation and Configuration of GitHub Copilot in Your IDE 5:18
Techniques for Troubleshooting GitHub Copilot 7:06
An Overview of the GitHub Copilot Interface 6:46
Leveraging GitHub Copilot for Code Completion 5:51
Advanced Code Completion Techniques with GitHub Copilot 6:34
Customizing Code Completion Behavior 5:15
Configuring Individual GitHub Copilot Features 7:08
Managing GitHub Copilot Business Policies 6:27
Configuring GitHub Copilot Knowledge Bases 5:34
Essential Use Cases for GitHub Copilot Chat 6:18
Optimizing Performance and Managing Limitations in Copilot Chat 6:04
Integrating Code Suggestions and Submitting Feedback in Copilot Chat 5:29
Using Slash Commands in GitHub Copilot Chat 6:49
Installing, Configuring, and Using the GitHub Copilot CLI 6:36
Working with Chat History 6:22
Accelerating the Learning Process with AI 6:53
Applying AI to Code Translation 5:57
Reducing Context Switching During Development 5:11
Producing Comprehensive Documentation with AI 5:46
Generating Sample and Test Data with AI 6:48
Modernizing Legacy Applications with AI 6:14
Improving Debugging Efficiency with AI 5:00
Building Test Suites with GitHub Copilot 5:59
Identifying Edge Cases Using GitHub Copilot 5:15
Generating Test Boilerplate with GitHub Copilot 7:19
Composing Test Assertions with GitHub Copilot 5:19
Improving Test Quality Through Copilot's Interpretative Capabilities 4:41
Conducting Security Testing with GitHub Copilot 4:05
Optimizing Performance with GitHub Copilot 4:11
Configuring Advanced Code Suggestion Options 4:50
Implementing the GitHub Copilot Editor Configuration File 5:45
Managing Content Exclusions 3:08
Access Files No pi required.
Free Course files 1 file package
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