Prove the prompt still works, then make it fast enough to live with.
7 lessons · about 6 hours · free
An LLM feature has no compiler. Nothing tells you that yesterday's prompt edit broke the extraction that has been quietly working for a month — unless you measured it. This course builds that measurement: golden datasets, deterministic assertions, LLM-as-judge for the things assertions cannot reach, and a regression suite that runs in CI on every prompt change. Then the shipping half: exact and semantic caching, latency work that people actually notice, routing easy calls to a cheaper model, and the tracing, logging and error taxonomies that let you explain a bad answer weeks after it happened.
Golden datasets, assertions that do not need a model, and judging what they cannot reach.
Caching, latency, routing, and being able to explain a bad answer later.