This advanced GitHub Copilot course is designed for developers who already understand the basics and want to explore next-level AI-powered development workflows. The course focuses on modern Copilot capabilities, including AI agents, CLI tools, SDK integrations, and advanced automation techniques used in real engineering environments.
Students will learn how to extend Copilot using MCP (Model Context Protocol) and custom skills to enhance code review processes and improve developer productivity. The course also explores GitHub Copilot CLI, showing how developers can interact with AI directly from the terminal to generate, refactor, and manage code more efficiently.
In addition, learners will discover how to build AI-powered assistants using Copilot SDK and CLI tools, enabling them to create custom productivity systems and automation workflows. Real-world demonstrations include building productivity hubs, remote AI sessions, and AI-driven development environments that support planning, coding, and execution.
The course also introduces experimental workflows such as cloud-based Copilot agents, session history tracking, and creative AI applications like transforming databases into interactive systems. By the end of the course, learners will be able to design and implement advanced AI-assisted development systems using GitHub Copilot’s latest features, improving both speed and engineering quality in professional projects.
