- Learning Path Libraries: This path is only available in the libraries listed. To access this path, purchase a license for the corresponding library.
- Core Tech
GitHub Copilot CLI
*Build confidence with GitHub Copilot CLI by learning how to centralize your entire development lifecycle within the terminal. This course focuses on terminal-native AI capabilities including interaction modes, autonomous agents, custom skills, and MCP servers, and shows how they work together to eliminate context-switching. You will examine real-world engineering workflows, from multi-file feature planning to background refactoring, and see how leveraging AI directly in the shell accelerates your ability to debug, test, and ship code.*
Content in this path
Deep Dive
Prioritizes hands-on orchestration over theory by having learners immediately configure and command AI agents within a live terminal environment. Only the minimum context required to navigate the CLI is provided, allowing deep understanding to develop through real-world feature planning, automated debugging, and the integration of live external data.
Try this learning path for free
What You'll Learn
- How to centralize the development lifecycle within the terminal using interaction modes, agents, and custom skills.
- How to automate software maintenance by leveraging AI for code reviews, debugging, and test generation.
- How to architect a context-aware environment by integrating external APIs and proprietary data via MCP servers.
- Learners should be familiar with basic software development concepts and have experience using GitHub Copilot within an IDE. Comfort navigating a terminal environment (Bash, Zsh, or PowerShell) and performing standard Git operations is assumed.
Learn with the best
