KoreField
Lessons/AI Engineering and Intelligent Systems/Beginner/REST APIs and HTTP

Building a FastAPI Prediction Endpoint

40 min Coding Lab
Create a FastAPI app with a prediction endpointValidate request bodies with PydanticReturn structured JSON responses

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40 min
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FastAPI for AI Services

FastAPI is the go-to framework for serving AI models in Python. It's fast, has automatic OpenAPI docs, and uses Pydantic for request validation — which catches bad input before it reaches your model.

Pydantic Models

Pydantic models define the shape of your request and response data. They validate input automatically and generate clear error messages when data doesn't match the expected schema.

In production AI services, input validation prevents crashes from malformed data. Always validate before inference.

Key Takeaway

FastAPI + Pydantic gives you type-safe, auto-documented AI endpoints with minimal boilerplate.

Review Questions

1. What does Pydantic do in a FastAPI application?