Production ML Pipelines with Python SDK v2 of Azure Machine Learning
By the end of this video tutorial, you should be able to use Azure Machine Learning (Azure ML) python SDK new version (V2) to productionize your ML project.
This means you will be able to leverage the AzureML Python SDK V2 to:
-connect to your Azure ML workspace
-create Azure ML data assets
-create reusable Azure ML components
-create, validate and run Azure ML pipelines
-deploy the newly-trained model as an endpoint
-call the Azure ML endpoint for inferencing
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-Reference codes utilized in this video:
https://github.com/Azure/azureml-exam...
-Azure ML SDK V2 new features:
https://techcommunity.microsoft.com/t....
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