This course provides a deep and practical exploration of GitHub Copilot’s most advanced capabilities, focusing on agent-based development, automation, and enterprise-scale workflows. Designed for developers who want to go beyond basic code completion, the course introduces GitHub Copilot agents, agent mode, and the Copilot SDK for building intelligent, AI-powered development experiences.
You will learn how to work with the GitHub Copilot CLI, including advanced commands, model switching, context configuration using the Model Context Protocol (MCP), delegation, sharing workflows, and automation through agent-driven tasks. The course also demonstrates how to integrate multiple AI models—such as Copilot, Claude, and Codex—into a single development workflow.
Through real-world demos, you will explore end-to-end agentic development, automated code reviews, testing, debugging, and pull request management. You’ll also learn how to extend Copilot with custom MCP tools, create Copilot Spaces, manage and audit agents, and integrate Copilot into tools like Slack, JetBrains, Eclipse, Xcode, and enterprise environments.
By the end of this course, learners will understand how to design, deploy, and manage AI agents that improve code quality, accelerate delivery, and transform modern software development workflows.
