AI & Auto2026
Building AI Apps with FastAPI
Dataquest
Why
Move from notebook to production: build and document a genuinely deployable AI API.
What I learned
HTTP APIs with FastAPI, Pydantic validation and async operations, writing Dockerfiles, multi-service architecture with Docker Compose, PostgreSQL persistence, and production patterns (health checks, multi-stage builds, non-root users, image tagging).
Result
Ability to design, containerize and deploy a production-ready AI API.