Serving Models via a REST API (FastAPI/Flask) — Roadmap Step & Resour…
Wrapping a trained model in an HTTP endpoint other systems can call
- Level: advanced
- Estimated time: 2 days
- Roadmap: Machine Learning
Before this step
Mini projects
- Build a FastAPI endpoint that loads a trained model and returns predictions from JSON input
Study resources
- Deploying a scikit-learn model with FastAPI (Article) — The official FastAPI documentation, widely used for serving ML models as REST APIs.
- Deploy a Machine Learning Model with FastAPI (Video) — A practical tutorial wrapping a trained model in a REST API.
Part of
- Deploying ML Models — section
- Machine Learning roadmap — the full learning path