Deploying AI into Production with FastAPI

Course overview

Practical guide to deploying AI models with FastAPI: creating GET/POST endpoints for model info and registration, handling diverse input types, key-based security, rate limiting, and API versioning and monitoring.

Demonstrates using FastAPI to expose models: GET endpoints for model metadata, POST endpoints for model registration, and prediction calls with a pre-trained model.

Covers integrating models by handling different input types (textual and numeric) and validating request data for robust endpoints.

Discusses securing and optimizing APIs: key-based authentication, protecting endpoints, rate limiting, and API versioning plus monitoring and logging practices.