Learn authentication, structured outputs, error handling, and UX patterns for AI features.
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.
- 01An integration mapAuth, idempotency, retries, and the user-visible error.
- 02Idempotency keys and exactly-once-enoughSafe retries for creates.
- 03Webhooks and out-of-order eventsVerify signatures; make handlers idempotent.
- 04Wrapping a model APITimeouts, fallbacks, and prompt version in the request.
- 05Contract testsFixtures for third parties and for the model schema.
- 06A runbook for the integrationToken expiry, quota, and vendor status page.
- 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.
- 09Measure results so you know the work is actually betterAdd a simple evaluation so quality and cost are not guesswork.
- 10Ship it: handoff, monitoring, and the next projectPut the workflow where other people can use it without you in the room.