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

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Azure/MLOps-TDSP-Template

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.

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

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CC-BY-4.0, MIT licenses found

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LICENSE.TXT
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LICENSE-CODE.TXT

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