In a previous post, I provided a lengthy write-up about my understanding of using Kubernetes as a compute target in Azure ML from a Kubernetes architect’s perspective. In this post, I will offer a step-by-step tutorial that teaches you how to deploy your first ML model on AKS.

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Learn how to deploy your first ML model on AKS using Azure Machine Learning Service. The model is based on the MNIST Dataset and was created using the scikit-learn framework.

Azure Machine Learning Service for Kubernetes Architects: Deploy Your First Model on AKS with AZ CLI v2