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Course Outline
Introduction to GitHub Copilot
- Overview of AI pair programming
- Capabilities and limitations of GitHub Copilot
- Copilot ecosystem: IDEs, CLI, PRs, and Chat
Getting Started
- Installing and configuring GitHub Copilot in VS Code, JetBrains, and Neovim
- Authenticating with GitHub and managing subscriptions
- Exploring Copilot settings and preferences
Using GitHub Copilot Effectively
- Generating code completions, functions, and boilerplate
- Working with multi-line and contextual suggestions
- Customizing and refining Copilot output
- Writing comments and documentation with Copilot
Copilot Chat and Collaboration Features
- Using Copilot Chat for API exploration and refactoring
- Debugging and troubleshooting with Copilot Chat
- Copilot in Pull Requests: suggestions and code reviews
Advanced Workflows with Copilot
- Integrating Copilot into CLI workflows
- Using Copilot with test-driven development
- Pairing Copilot with frameworks and libraries
Responsible and Secure Usage
- Understanding licensing, privacy, and intellectual property considerations
- Mitigating risks of insecure or biased code
- Best practices for enterprise and team adoption
Best Practices and Case Studies
- Maximizing productivity with Copilot in day-to-day development
- Real-world examples of Copilot usage across languages
- Lessons learned and success stories from teams using Copilot
Summary and Next Steps
Requirements
- Basic programming knowledge in at least one language (e.g., Python, JavaScript, Java, C#)
- Familiarity with using an IDE or code editor (such as VS Code or JetBrains)
- Basic knowledge of Git and GitHub workflows is beneficial
Audience
- Developers
- Programmers
- Software engineers
14 Hours
Testimonials (1)
Lecturer's knowledge in advanced usage of copilot & Sufficient and efficient practical session
