Environments Overview

5m 32s

Creating and Monitoring an Azure Machine Learning Environment looks at two types of environments. Firstly, it explains how to create a software environment with all the necessary supporting libraries for model training and inference. Software environments are intrinsic to model operation, so understanding what they are, how they work, and how to create them is essential to model development. We then look at how Azure Monitor is used to monitor compute resources involved in machine learning.

Learning Objectives

  • What is a machine learning environment

  • Creating a machine learning environment

  • Monitoring compute utilization

Intended Audience

  • Students who are eager to gain practical skills in configuring a software environment for machine learning and monitoring compute utilization


  • A basic familiarity with Azure Machine Learning Studio and general machine learning concepts, including scripting and the Azure ML SDK.

About the Author
Learning paths

Hallam is a software architect with over 20 years experience across a wide range of industries. He began his software career as a  Delphi/Interbase disciple but changed his allegiance to Microsoft with its deep and broad ecosystem. While Hallam has designed and crafted custom software utilizing web, mobile and desktop technologies, good quality reliable data is the key to a successful solution. The challenge of quickly turning data into useful information for digestion by humans and machines has led Hallam to specialize in database design and process automation. Showing customers how leverage new technology to change and improve their business processes is one of the key drivers keeping Hallam coming back to the keyboard. 

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