Deploy ML Model in Production with FastAPI and Docker


Be taught ML deployment utilizing FastAPI, Docker, CI/CD, and Cloud platforms

What you’ll be taught

Deploy machine studying fashions in manufacturing utilizing FastAPI and Docker.

Create APIs for ML fashions utilizing FastAPI with optimized endpoints.

Containerize ML functions with Docker for scalable deployments.

Arrange CI/CD pipelines for automated deployment and testing.

Prepare, consider, and save ML fashions, specializing in real-world datasets.

Deploy ML fashions to cloud platforms like Heroku and Microsoft Azure.

Construct and combine a easy frontend for ML mannequin APIs.

Implement logging, error dealing with, and request dealing with in APIs.

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