Databricks MLOps - Preparing to use MLflow on Azure

Databricks MLOps - Preparing to use MLflow on Azure
In this little video series I'll get to the bottom of how you can control the Azure Databricks platform with your DevOps toolbox.

In this part we first set up an Azure Databricks workspace, connect it to our Azure DevOps environment, sync our notebooks with the source code management and create a cluster through a DevOps pipeline.

This DevOps for Machine Learning pipeline sets the basis for the later use of Azure Databricks MLflow, and the deployment with the Azure Machine Learning Service.

Please take a look at the latest version of the MLOps with Databricks code:
https://github.com/SaschaDittmann/MLO...

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🚀 Tools and services used in this video:
Azure Databricks
https://azure.microsoft.com/en-us/ser...

Azure DevOps Services
https://azure.microsoft.com/en-us/ser...

✅ Recommended playlists:
DevOps for Machine Learning (MLOps) on Azure
   • DevOps for Machine Learning (MLOps) on Azure  

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#Databricks #MLOps #DevOps