Three tracks with 170 lessons each. The opening lessons in each track embed canonical long-form LLMOps authoring (platform architecture, RAG operations, eval harnesses, deployment and governance). The remainder are repeatable drills with prompt YAML, retrieval plans, incident templates, and token-economics scratchpads.
Foundations: operating LLM apps, MLOps contrast, model sourcing, reference architecture, data and orchestration layers.
Open Basic track →Techniques: RAG at scale, fine-tuning tradeoffs, eval and A/B design, vector indexes, prompt governance, agents, cost and safety.
Open Intermediate track →Production: deployment, observability, security, enterprise assistants, summarization and code-assistant ops, career roadmap.
Open Advanced track →