This repository contains a labs to help you get started with Creating and deploying Azure machine learning module.

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/mslearn-train-package-module-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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When you submit a pull request, a CLA bot will automatically determine whether you need to provide a CLA and decorate the PR appropriately (e.g., status check, comment). Simply follow the instructions provided by the bot. You will only need to do this once across all repos using our CLA.

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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