Course catalog
Prompt clearly and get back structured output you can trust.
Prompt engineering collapsed into basic literacy — but knowing how a model reads your words, and how to make it return exactly the shape your app needs, is now a universal developer skill. This course starts from how a model actually sees a prompt (tokens, context window, system vs user) and builds to writing clear, specific, example-driven prompts. Then you'll master structured outputs: why plain JSON mode breaks, how schemas and constrained decoding force the exact fields you need, and how to validate and retry. You'll finish treating prompts as code — cached, tested, and iterated against evals.
Section 1
Tokens, the context window, and the messages a model actually sees.
Section 2
Specificity, examples, format, and roles.
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Get startedSection 3
Make the model return exactly the fields your app needs.
Section 4
Treat prompts as code: cache, test, iterate.