Building AI Features in Python Backends
For Python backend engineers who need to put LLM calls into production services without losing reliability, cost control or data safety. You will build ShipFast, a courier support API that classifies customer messages, extracts delivery details, routes them and drafts replies, using FastAPI, Pydantic and a small model client you own.
Course Content
See the finished ShipFast triage service, then learn the few ideas that change when a model call sits inside your backend.
Send a request with the real SDKs, wrap it in a small client you control, put a price and a budget on every call, and stream long replies through FastAPI.
Make the model return typed data your service can trust: ask for a schema, validate it with Pydantic, repair it once, then use it to classify and extract, and ship it as an endpoint.
Put model calls behind the right endpoint shape, route on their output, cache what repeats, survive provider outages, and assemble the full ShipFast triage service.
Defend ShipFast against hostile input, keep personal data out of logs, stop one customer from using everyone's capacity, and put prompts under the same review and testing as code.