In predictive modeling, training a model is only half the battle; predictions typically need to be “served” to other systems in production via an API or similar interface.

In this tutorial we’ll start with a trained scikit-learn model and build a working FastAPI application to deliver its predictions in realtime. No prior experience with API development is expected.