Module 000: Workshop Orientation
Workshop map, agentic shift, workflow economics, and rules.
Course · 10 modules · 3 labs
A practical course that takes you from your first Copilot suggestion to running AI-assisted engineering across a team. It focuses on real engineering workflows rather than feature lists: how Copilot works, how to steer it, how to validate what it produces, and how to scale it with instructions, agents, MCP and specs.
Level 0
How the course works, how Copilot is changing engineering work, and the rules for using it well.
Workshop map, agentic shift, workflow economics, and rules.
Level 100
Individual productivity: how Copilot works, how to prompt it and how to check its output.
What Copilot is, how it works, chat/autocomplete, limits and trust.
Context control, prompt precision, few-shot patterns, iterative refinement.
Testing, review, validation, and security checks.
Level 200
Shaping Copilot for a team: instructions, agents and repositories that AI can work with.
Custom instructions, hierarchy, conflicts, and governance.
Ask vs agent mode, autonomy, approvals, and workflow automation.
Structure, naming, discoverability, indexing, and repo maturity.
Level 300
Orchestration and delivery at scale: MCP, spec-driven development and the AI-SDLC operating model.
Tools, integrations, trust boundaries, and secure usage.
Spec-first planning, implementation flow, drift prevention.
Maturity model, governance, metrics, and operating model at scale.
Final step
Finish the course by validating what you learned with the official GitHub Copilot certification exam.
Your instructor
Software Architect · AI Strategist · Critical & Secure Systems
Software architect with more than twenty years building critical and secure systems. Articles, talks and open source on architecture and AI-assisted engineering.