hands-on lab

Creating a Classification Model with AutoML in Azure Machine Learning Studio

Up to 2h 30m
Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.


Automated Machine Learning significantly reduces the amount of time and skill required to develop a production-ready model. It rapidly iterates over the various combinations of algorithms and hyperparameters and provides a recommendation on the most optimal model for a given dataset. Automated ML is based on breakthrough research from the Microsoft Research division. Experiments can be processed on various different types of computing resources such as Virtual Machines and Kubernetes that can either be local or in the cloud. 

In this lab, you will create a predictive classification model with Azure's Automated Machine Learning service to quickly discover the most optimal model for a dataset. 

Learning Objectives

Upon completion of this lab you will be able to:

  • Create an AutoML run in Azure Machine Learning Studio
  • Discover the most optimal model to use for a particular dataset

Lab Prerequisites

You should be familiar with:

  • Basic concepts of Azure Machine Learning
  • Experience with Python is not required


February 2nd, 2024 - Updated screenshots & instructions to reflect the latest UI

December 14th, 2022 - Updated instructions & screenshots to reflect latest UI



Environment before

Environment after

About the author

Learning paths

Luke is a Site Reliability Engineer at Microsoft. His background is infrastructure development using Terraform and in 2021 he was awarded the HashiCorp Ambassador award. He is an Azure DevOps Engineer Expert, Azure Administrator Associate, and HashiCorp Certified - Terraform Associate.

Covered topics

Lab steps

Logging in to the Microsoft Azure Portal
Launching Azure Machine Learning Studio
Create an Automated Machine Learning Run
Reviewing the AutoML Run