MLOps Quickstart Template

This repo provides a quickstarter template as a fork on TDSP (https://github.com/Azure/Azure-TDSP-ProjectTemplate), extending the template with a suggested structure for operationalization using Azure. The current code base includes ARM templates as IaC for resource deployment, template build and release pipelines to enable ML model CI/CD, template code for working with Azure ML.

How to get started

• Clone this repo
• Make sure you have an Azure Subscription set up.
• Make sure you have an Azure DevOps instance set up.
• Import the build and release definitions ('Code'>'Operationalization'>'build_and_release') into Azure DevOps pipelines.
• Update the build and release definitions to use your credentials i.e. Azure subscription.
• Create an initial commit.
• If everything is set up correctly, Azure DevOps will provision your Azure Resources as triggered by the CI.
• Use the Azure CLI ML Extension (az ml project attach command) or Azure ML SDK to configure your local workspace to use the created Azure ML workspace.
• Run Code/Modeling/train_submit to run your first AzureML experiment on remote compute.