Curated collection of official documentation, courses, and study resources to help you prepare for the GH-600 certification.
Microsoft Learn study guide covering all six GH-600 exam domains: agent architecture, tool use & MCP, memory & state, evaluation, multi-agent coordination, and guardrails.
Official certification landing page with exam overview, skills measured, prerequisites, and registration for GH-600.
Official docs for configuring GitHub Copilot coding agents, custom instructions, repository settings, and workflow integration.
GitHub Blog guide covering MCP server setup, agent firewall configuration, allow lists, and production SDLC best practices.
Open standard documentation for MCP — how AI agents connect to external tools, APIs, and data sources securely.
Reference for workflow syntax, job steps, secrets management, and CI integration patterns used when invoking agents in pipelines.
Microsoft Tech Community post announcing GH-600 with exam scope overview, beta details, and preparation recommendations.
Microsoft Learn training path introducing agentic AI concepts, GitHub as the SDLC control plane, and production agent governance fundamentals.
Learning modules on defining agent boundaries, integrating agents into PR/CI workflows, observability artifacts, and graduated autonomy.
Deep-dive modules on MCP servers, tool permissions, GitHub Actions agent invocation, error handling, and execution traceability.