Azure ML workspace with a managed VNET and private endpoints
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Updated
Jul 10, 2024 - HCL
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Azure ML workspace with a managed VNET and private endpoints
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
Train & track a model using Databricks & MLflow, triggering a Azure DevOps* build pipeline with each model stage change, downloading the model artifacts from MLflow, building a Docker container to package them and pushing this container to Azure Container Registry.
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