GitHub · GH-600 · FREE COURSE
GH-600 · Developing in Agentic AI Systems
16 video lessons and 149 original practice questions. Follow the course, then put each idea into practice.
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Course chapters
16 lessons- 1Agents in the SDLC4:10 · Lesson video
- 2Planning before action11:01 · Full-course chapter
- 3Autonomy, artifacts, and human intervention17:28 · Full-course chapter
- 4Agent tools and permissions32:36 · Full-course chapter
- 5MCP servers, registries, and allow lists39:17 · Full-course chapter
- 6Execution context: repositories, CI, and branches47:17 · Full-course chapter
- 7Safe execution and error handling54:52 · Full-course chapter
- 8Agent memory strategies1:10:00 · Full-course chapter
- 9Durable state, drift, and continuity1:16:38 · Full-course chapter
- 10Success criteria and evaluation signals1:23:20 · Full-course chapter
- 11Failure analysis and tuning1:29:31 · Full-course chapter
- 12Orchestration, isolation, and conflicts1:43:49 · Full-course chapter
- 13Multi-agent observability and recovery1:50:48 · Full-course chapter
- 14The agent lifecycle1:57:36 · Full-course chapter
- 15Autonomy levels and risk2:04:05 · Full-course chapter
- 16Guardrails and least privilege2:10:18 · Full-course chapter
Practice by domain
Practise the reasoning.
Choose immediate explanations, or complete a mock exam with feedback at the end. The mock questions are also available in everyday practice.
The optional 60-minute timer is a practice setting, not the official exam duration.