Creating and Monitoring an Azure Machine Learning Environment

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

Prerequisites

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