Phase 12 · Model Deployment & MLOps
TopicsBuilding an API for a Model (Flask / FastAPI)
Part of the Data Science Roadmap.
Summary
Wrapping a trained model in a lightweight web API so other applications can send it data and get predictions back — FastAPI is the modern, faster-growing choice with built-in data validation.
How to Learn This
- 1Build a simple FastAPI endpoint that loads a model and returns a prediction.
- 2Test your API locally with a sample request using a tool like curl or Postman.
- 3Learn to validate incoming request data before passing it to the model.
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