Create and Publish Pipelines for Batch Inferencing with Azure

A machine learning model goes through a number of stages in its lifecycle; from training, to evaluation, through deployment and then maintenance. While there are a number of tools available for these stages, their management can become overwhelming even for the seasoned ML engineer.

Once you have finished this course, you will have a clear understanding of the capabilities of Azure ML and specifically its designer when it comes to defining and managing pipelines – which can be used for both training and inferencing.

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