This course covers model choice, structured outputs, latency, and UX so you can add AI to an app that people actually use.
Includes practical lessons, exercises, and a clear next step after you enroll.
About this course
Curriculum
Lessons are listed in order. Each one has a goal, a walkthrough, practice, and a short check before you continue.
- 01Choosing the right model endpointMatch chat, embeddings, and vision APIs to the product job.
- 02Auth, rate limits, and a safe first requestCall the API without leaking keys or melting a quota.
- 03Structured outputs and tool useGet JSON you can trust instead of a paragraph you have to parse.
- 04Caching, cost, and latency in the UXHide wait time and avoid paying twice for the same prompt.
- 05Shipping a chat feature end-to-endAssemble messages, memory, and errors into a usable thread.
- 06From demo to a maintainable serviceAdd logging, eval hooks, and an owner before you call it shipped.
- 07Workshop: a complete pass on a real taskCombine the earlier lessons into one working example you can keep.
- 08Quality bar, common mistakes, and a 30-day planLock in a checklist so the skill survives after the course ends.