Deploy a Model as an API

Summary

Taking a trained model from notebook to a live, callable HTTP endpoint — the single most important practical skill separating 'can train models' from 'can ship AI products.'

• 1Deploy a trained model behind a FastAPI service, containerized with Docker.
• 2Host it on a real platform (Render, Railway, AWS) so it's publicly reachable.
• 3Add basic monitoring/logging so you can see real request volume and errors.