Plan de estudios

Solo títulos de módulos y lecciones. El contenido completo se desbloquea tras la inscripción.

1. Module M01

   1. Lesson M01-L01 — Why FastAPI for AI Backends
   2. Lesson M01-L02 — Project Layout: Routes, Services, AI Client
   3. Lesson M01-L03 — Pydantic Models as Contracts
   4. Lesson M01-L04 — OpenAPI as Living Documentation

2. Module M02

   1. Lesson M02-L01 — Chat Endpoint with FakeLLM
   2. Lesson M02-L02 — Streaming Responses
   3. Lesson M02-L03 — Timeouts, Errors, and Problem Details
   4. Lesson M02-L04 — Health, Readiness, and Usage Headers

3. Module M03

   1. Lesson M03-L01 — Settings and Secrets via Env
   2. Lesson M03-L02 — Auth Hooks (API Key / Bearer Stub)
   3. Lesson M03-L03 — Client SDK / curl Recipes
   4. Lesson M03-L04 — Testing FastAPI with Fakes

4. Module M04

   1. Lesson M04-L01 — Versioning and Deprecation Basics
   2. Lesson M04-L02 — Deploy/Safety Notes for AI APIs
   3. Lesson M04-L03 — Observability Hooks
   4. Lesson M04-L04 — Ship FastAPI AI Microservice