isabella232 / train-package-azure-ml-module-for-iot-edge

Microsoft learn code sample for module Train and package an Azure machine learning module for deployment to IoT Edge device https://docs.microsoft.com/en-us/learn/modules/train-package-module-iot-edge/3-exercise-create-deploy-azure-ml-module

MS Learn Exercise - Creating and deploying Azure machine learning module

This repository contains a labs to help you get started with Creating and deploying Azure machine learning module. For the following Microsoft Learn Exercise

Manually creating a VS Online Container

To complete the labs, you'll need the following:

• A Microsoft Azure subscription. If you don't already have one, you can sign up for a free trial at https://azure.microsoft.com or a Student Subscription at https://aka.ms/azureforstudents.
• A Visual Studio Online environment. This provides a hosted instance of Visual Studio Code, in which you'll be able to run the notebooks for the lab exercises. To set up this environment:
  1. Browse to https://online.visualstudio.com
  2. Click Get Started.
  3. Sign in using the Microsoft account associated with your Azure subscription.
  4. Click Create environment. If you don't already have a Visual Studio Online plan, create one. This is used to track resource utlization by your Visual Studio Online environments. Then create an environment with the following settings:
     • Environment Name: A name for your environment - for example, MSLearn-create-deploy-azure-ml-module.
     • Git Repository: MicrosoftDocs/Train-package-Azure-ML-module-for-IoT-Edge
     • Instance Type: Standard (Linux) 4 cores, 8GB RAM
     • Suspend idle environment after: 120 minutes
  5. Wait for the environment to be created, and then click Connect to connect to it. This will open a browser-based instance of Visual Studio Code.

Labs

After you've completed the setup steps above, you can use your Visual Studio Online environment to complete the labs.

Note: Labs that involve running code include all of the code you'll need - you'll just need to copy and paste a few values and run the code that is provided, so don't worry if you're not a programmer! We've used Python code in the labs, because that can be runs interactively in the notebooks themselves.

Contributing

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This project has adopted the Microsoft Open Source Code of Conduct. For more information see the Code of Conduct FAQ or contact [email protected] with any additional questions or comments.

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