Week 4 Focus: Intro to MLOps & Deployment. Topics include packaging your model (move from experimentation to a reproducible, shareable format), setting up basic infrastructure with Docker, FastAPI, or simple cloud deployment, and thinking in pipelines (automating data inputs, retraining, and model monitoring).

move from experimentation to a reproducible, shareable format.

explore tools like Docker, FastAPI, or simple cloud deployment.

move from experimentation to a reproducible, shareable format.

explore tools like Docker, FastAPI, or simple cloud deployment.

This session covers packaging your model for reproducibility, setting up basic infrastructure (Docker, FastAPI, or simple cloud deployment), and thinking in pipelines (how to automate data inputs, retraining, and monitoring).