Day 6 — Model Deployment: How ML Models Go From Laptop to Docker Containers

So far you’ve learned: Day 1 → What MLOps is Day 2 → ML lifecycle Day 3 → Data engineering basics Day 4 → Data drift and model decay Day 5 → Experiment tracking and model registry Today we answer a key question: How does a model that was trained on a...