In this post I aim to outline where you might start with an architecture to develop, train, test and deploy machine learning models on Azure.

The Azure platform has a number of technologies and services around Machine Learning and it can tricky to know where to start.

In my previous post I mentioned a decision tree to start to process in determining which service(s) to use.

I will focus in this post on using Python notebooks, Model Management Service, Kubernetes and Azure Container Services.