Building a hands-on MLflow curriculum, and what actually breaks when you stop reading and start executing.
I had a roadmap for learning MLflow — a good one, phase by phase from “what is a run” to “how do I roll back production”. The kind of document you nod along to and then never act on, because reading about experiment tracking is not the same as having tracked an experiment. So I […]
