mlops-v2

Why we included this project

Teams already running machine learning on Azure often hit the same wall: models work fine in notebooks but fall apart when they need to become dependable production pipelines. This repo packages the operational scaffolding, infrastructure provisioning, environment setup, and repeatable training and deployment workflows, into modular templates that work with Azure DevOps or GitHub Actions. It is not a single rigid tool but a framework you adapt to your own organization, with quickstart scenarios and guided deployment docs that get a working MLOps baseline running in a few hours. Platform engineers and ML leads who want a proven reference architecture to copy, instead of designing CI/CD for models from scratch, will get the most out of it. The real value is in the structure and the battle-tested patterns, not any single script.