mlops-course

Why we included this project

This repository is the companion code for the Made With ML course, and it walks a single text-classification project from an exploratory Jupyter notebook through refactored Python modules for training, tuning, evaluation, prediction, and serving. Experiment tracking, testing, and orchestration get added as the system grows, so the MLOps pieces show up in the context of a real build rather than as separate topics. The course stresses first-principles reasoning and software engineering habits, and the same workloads run on a laptop or a Ray/Anyscale cluster without code changes. For developers and small teams that want a concrete example of how an experiment notebook becomes a deployed, reliable system, the hands-on scripts and CI/CD examples give them something they can adapt to their own stack.