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description: "MLOps end to end examples & solutions. A collection of examples showing different end to end scenarios operationalizing ML workflows with Azure Machine Learning, integrated with GitHub and other Azure services such as Data Factory and DevOps."
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# Updated MLOps Guidance on Azure (2023)
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To learn the more about the latest guidance from Microsoft about MLOps review the following links.
-[Set up MLOps with Azure DevOps](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-azureml?view=azureml-api-2&tabs=azure-shell)
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-[Set up MLOps with Github](https://learn.microsoft.com/en-us/azure/machine-learning/how-to-setup-mlops-github-azure-ml?view=azureml-api-2&tabs=azure-shell)
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-[Offical Microsoft Documentatation on MLOps](https://learn.microsoft.com/en-us/azure/machine-learning/concept-model-management-and-deployment?view=azureml-api-2)
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-[Microsoft Learn cournse for intro to MLOps](https://learn.microsoft.com/en-us/training/paths/introduction-machine-learn-operations/)
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-[Microsoft Learn course for E2E MLOps](https://learn.microsoft.com/en-us/training/paths/build-first-machine-operations-workflow/)
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