Training programme overview

Learn to deploy robust AI APIs using FastAPI and Pydantic. The course addresses securing, optimizing, versioning and monitoring AI endpoints, with local hands-on media and sequential activities to build and maintain production services.

This course shows how to turn AI models into usable APIs using FastAPI and Pydantic, focusing on reliability and maintainability.

It combines hands-on examples with guidance on security configuration (authentication, secret management), performance tuning and API versioning strategies.

Monitoring and observability are covered to detect model drift and latency issues, including integration of logging and metrics tools.

1courses

4lessons

15activities

4exercises

14videos

Training · Intermediate

Courses included in this training programme

Deploying AI into Production with FastAPI

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.

4 lessons · 15 activities · 4 exercises · 14 videos

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