Course structure & key topics
The Agentic GitHub Copilot training curriculum is structured into several progressive technical modules:
1. Introduction & fundamentals
A review of core concepts to ensure a smooth transition to more advanced uses.
2. Interaction modes
Learning the balance between control and autonomy by managing AI execution through plans and follow-up questions.
3. Creation & management of AI agents
Learn to design, orchestrate, and manage autonomous AI agents.
4. Configuring specific behaviors via .agent.md files to delegate targeted tasks
Write clear, structured guidelines in your .agent.md files to customize the role of your agents, promoting behavior that aligns with your standards.
5. Comparative analysis of fast generation models vs. complex reasoning models
Compare low-latency models with advanced reasoning models to select the ideal tool based on task complexity, optimizing both performance and token consumption.
6. Extensions & model context protocol (MCP)
7. Learn to integrate external systems and build your own MCP server.
8. Modernization
Standardizing the agentic approach through target documentation generation and migration plan development.
