GitHub Agentic AI Developer (GH-600) Exam Prep
Intermediate
Design and implement real systems · 3 tutorials · 25-35 min each
Walk into the GH-600 exam knowing each domain cold — with the GitHub control-plane mental model, worked scenarios, and an exam-day playbook to pass on the first attempt.
Domain 1: Agent Architecture & SDLC Processes
Integrating agents into the SDLC, separating planning from execution, and configuring observability and control for autonomous agents — Domain 1 (15–20%) of GH-600, with worked scenarios and practice questions.
Domain 2: Tool Use & Environment Interaction
Selecting and configuring agent tools, MCP servers and allow lists, integrating agents into dev environments and CI, and safe execution with error handling, retries, rollbacks, and escalation — the heaviest GH-600 domain (20–25%).
Domain 3: Memory, State & Execution
Short-term vs. long-term vs. external memory, persisting agent state as durable artifacts, detecting and correcting context drift, and keeping state consistent across tools — Domain 3 (10–15%) of GH-600.