Advanced~15 hours4 lessons

Production MLOps & Model Deployment

Master the production pipeline. Learn how to wrap models in fast APIs, containerize them, and deploy to serverless hosting.

What you'll build: a containerized, serverless model inference API

Curriculum

Module A: Model Production & Deployment

4 lessons

Wrap PyTorch models inside robust REST APIs with request validation using FastAPI and Pydantic.

Package deep learning models, weights, and runtimes inside isolated, lightweight Docker containers.

Host model runtimes serverless on Replicate, Hugging Face Spaces, or AWS Lambda for scalable inference.

Create an automated CI/CD pipeline that packages, tests, and deploys an active ML classifier.

Recommended Watch

What MLOps is and why it's essential for deploying and maintaining ML models in production.

5 questions · ~5 min · Pass 4/5 to unlock your badge