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articles/machine-learning/how-to-devops-machine-learning.md

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ms.custom: devops-pipelines-deploy
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# Prepare data, train, deploy, and monitor machine learning models with Azure Pipelines and Azure Machine Learning
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# Use Azure Pipelines with Azure Machine Learning
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**Azure DevOps Services | Azure DevOps Server 2022 - Azure DevOps Server 2019**
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You can use a DevOps pipeline to automate the machine learning lifecycle. Some of the operations you can automate are:
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You can use an [Azure DevOps pipeline](/azure/devops/pipelines/) to automate the machine learning lifecycle. Some of the operations you can automate are:
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* Data preparation (extract, transform, load operations)
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* Training machine learning models with on-demand scale-out and scale-up
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This article will teach you how to create an Azure Pipeline that builds and deploys a machine learning model to [Azure Machine Learning](/azure/machine-learning/overview-what-is-azure-machine-learning). You'll train a scikit-learn linear regression model on the Diabetes dataset.
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This tutorial uses [Azure Machine Learning Python SDK v2](/python/api/overview/azure/ml/installv2), which is in public preview, and [Azure CLI ML extension v2](/cli/azure/ml).
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This tutorial uses [Azure Machine Learning Python SDK v2](/python/api/overview/azure/ml/installv2) and [Azure CLI ML extension v2](/cli/azure/ml).
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## Prerequisites
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