The GH-600 certification — Developing in Agentic AI Systems — covers some of the most important skills for the next wave of software development. It tests your ability to design, build, evaluate, and govern AI agents that work on your behalf inside the GitHub platform.
We built the Agentic Codex to prepare IT-Journey learners for this certification. It’s a complete learning arc: 20 quests, 7 chronicle posts, and 8 quick-reference notes — all organised around the six domains in the GH-600 study guide.
What Is the GH-600?
The GH-600 exam tests six knowledge domains:
| Domain | Weight | Topic |
|---|---|---|
| D1 | 18% | Agentic AI in the SDLC |
| D2 | 18% | Tools, environments, and agent capabilities |
| D3 | 19% | Memory, context, and state management |
| D4 | 19% | Evaluating and improving agent performance |
| D5 | 17% | Multi-agent system design |
| D6 | 9% | Responsible autonomy and guardrails |
The arc covers all of these with hands-on exercises that use only GitHub-native tools: Copilot coding agent, GitHub Actions, MCP servers, GitHub Environments, and the GitHub Models API.
The Arc Structure
Domain 1 (Q1–Q3) → Domain 2 (Q4–Q7) → Domain 3 (Q8–Q10)
→ Domain 4 (Q11–Q13) → Domain 5 (Q14–Q17) → Domain 6 (Q18–Q19)
→ Grand Capstone (all domains)
Each quest builds on the previous one. Q1 starts with the basics of where agents fit in an SDLC. The Capstone requires you to deploy a working 3-agent orchestration system with full observability, evaluation, and governance in place.
How to Begin
- Read the GH-600 certification hub
- Review the skills measured
- Start at Q1: Agentic SDLC Integration
The arc was designed to take approximately 40 hours of hands-on work from start to capstone. The exam itself is 70% pass threshold across all domains.
Good luck, adventurer. The Codex is open.