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Azure Labs
Labs badge iconLAB

Deploy a Model as a Service with Azure

In this lab, you’ll practice deploying, consuming, and troubleshooting a Machine Learning model. When you’re finished with this lab, you’ll have experience using Azure Machine Learning studio to deploy a model.

* Our Labs are Available for Enterprise and Professional plans only.
Terms and conditions apply.
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Labs - Deploy a Model as a Service with Azure

Lab info

Rating (11)
Level
Beginner
Duration
1h 15m
Released
Jan 31, 2022

Lab author

Lab Author: David Cobb
David Cobb
David loves to learn while solving problems with technology and share his knowledge with others. David is the principal consultant for Cobb Information Technologies since 1996 and a Microsoft Certified Trainer since 2002. David provides training and consulting on database and cloud migration and automation in Azure and AWS. From his background in SQL and PowerShell, he is focused on learning and sharing how Azure DevOps, Machine Learning and AI can be applied to transform business. He is a volun... moreteer and speaker at local South Florida user groups and events focused on Azure and the Microsoft stack like Code Camp and SQL Saturday. He has served as a technical reviewer for books including ‘SQL Server 2014 with Powershell v5’ and ‘Pro PowerShell for Microsoft Azure’. When not exploring some new cloud technology, David enjoys traveling and exploring local and state parks with his wife, two sons and corgi in and around Florida.
  • Table of contents
  • What's a lab?
  • Prerequisites
Challenge

Access Jupyter Notebook in Azure Machine Learning Studio

Launch Azure Machine Learning studio and download files to prepare your environment.

Challenge

Prepare Model for Deployment

You will run Python code in Jupyter notebook to prepare an existing model for deployment.

Challenge

Deploy the Model to an Azure Container Instance (ACI)

You will deploy the prepared model to a new Azure Container Instance (ACI)

Challenge

Review Model Deployment Logs for Troubleshooting

You will review the deployment logs to troubleshoot or verify the successful deployment

Challenge

Consume a Web Service to Test the Model

You will test the model by downloading test data and loading it into the model.

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Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

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Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

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Did you know?

On average, you retain 75% more of your learning if you get time for practice.

Recommended prerequisites

  • Basic familiarity with Python
  • Basic familiarity with Azure CLI

Start learning by doing today

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