serverless-ml-course

Why we included this project

Serverless ML is a free, hands-on course that takes you from a Python notebook to a working prediction service, skipping the Kubernetes and server management entirely. It's aimed at data scientists and ML engineers who know Python but haven't shipped models as batch or real-time endpoints. The lessons walk through feature engineering, a feature store, model training, registration, and deployment, and even include building a simple UI. Each module bundles videos, slides, and code, so you can follow it as a structured path or dip in for a specific MLOps topic. If you're evaluating serverless ML platforms, the examples show how feature stores and model registries actually fit into a production workflow.