GitHub Copilot for Software Developers by Microsoft Press
2h 58mIntermediate2025-10-07
Authors

Shaun Wassell
Full-Stack Software Developer

Microsoft Press
Microsoft
Course details
GitHub Copilot is an AI-powered coding assistant that helps software developers write code faster and more efficiently by providing intelligent suggestions and automating repetitive tasks. As businesses increasingly rely on software, the demand for faster development and higher-quality code has never been greater. This technology is a game-changer because it reduces development time, minimizes errors, and allows developers to focus on creative problem-solving rather than tedious coding tasks. This course provides a hands-on, practical approach to mastering Copilot, ensuring developers can integrate it effectively into their workflow. Instructor Shaun Wassell covers installation and configuration, optimizing code suggestions, automating repetitive tasks, enhancing debugging, and writing tests and documentation with AI assistance. Check out this course to gain a better understanding of Copilot’s capabilities, limitations, and best practices to maximize productivity while maintaining high-quality code.
Learning objectives
Install and configure GitHub Copilot in various IDEs.
Generate, refactor, and optimize code using AI-powered suggestions.
Automate repetitive coding tasks to enhance workflow efficiency.
Write clear documentation and unit tests with AI assistance.
Customize Copilot for more relevant and precise code suggestions.
Use AI to detect, debug, and resolve performance issues.
Implement best practices to avoid over-reliance on AI-generated code.
Explore Copilot Labs and future advancements in AI-driven development.
Learning objectives
Install and configure GitHub Copilot in various IDEs.
Generate, refactor, and optimize code using AI-powered suggestions.
Automate repetitive coding tasks to enhance workflow efficiency.
Write clear documentation and unit tests with AI assistance.
Customize Copilot for more relevant and precise code suggestions.
Use AI to detect, debug, and resolve performance issues.
Implement best practices to avoid over-reliance on AI-generated code.
Explore Copilot Labs and future advancements in AI-driven development.
Concepts
Introduction
- Introduction
Lesson 1 - Introducing GitHub Copilot
- Learning objectives
- Learn what GitHub Copilot is and how it works
- Learn about supported languages and environments
- Understand and manage Copilot s suggestions
Lesson 2 - Learn About Code Generation and Completion
- Learning objectives
- Generate functions from comments
- Create boilerplate code and project templates
- Refactor code with Copilot suggestions
- Optimize performance with AI assistance
Lesson 3 - Debug with GitHub Copilot
- Learning objectives
- Use Copilot to detect and fix errors
- Enhance debugging with AI-powered suggestions
- Integrate Copilot with debugging tools
Lesson 4 - Write Documentation with Copilot
- Learning objectives
- Generate meaningful code comments and docstrings
- Create well-structured README files
- Automate API documentation with markdown
- Improve documentation consistency and readability
Lesson 5 - Create Tests with Copilot
- Learning objectives
- Generate unit tests from function definitions
- Use Copilot with popular testing frameworks
- Expand test coverage and edge cases
- Automate repetitive test-writing tasks
Lesson 6 - Learn Advanced Tips and Best Practices
- Learning objectives
- Maximize Copilot s potential
- Learn about ethical AI coding and avoiding over-reliance
Summary
- GitHub Copilot for Software Developers - Summary
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