Capstone: A Fully Monitored ML System

Day 80 of 100 Days of MLOps, and the Module 8 finale. Assemble the whole module into one monitoring system: log every prediction, check data drift and realized performance each cycle, alert when either breaches its threshold, and trigger a gated retrain that heals the model — all in one Prefect flow. You'll run it on a healthy window (no action) and a decayed one (drift 100%, MAE $444,231 → alert → retrain → gated redeploy at $11,626). Combined with Module 7, it's the self-sustaining ML system this course set out to build. Runs 100% locally on any OS.