/ai-fundamentals

Code samples for AI fundamentals

Primary LanguageJupyter NotebookMIT LicenseMIT

Microsoft Learn AI Fundamentals Labs

The sample code in this repository is for use in hands-on exercises in Microsoft Learn modules.

Setup

The exercises are designed to be completed in Visual Studio Online. 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.
  • A Visual Studio Codespace based on the MicrosoftDocs/ai-fundamentals code repository. 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 a Visual Studio Codespace:

  1. Open Visual Studio Online in a new browser tab; and if prompted, sign in using the Microsoft account associated with your Azure subscription.
  2. If you don't already have a Visual Studio Codespaces billing plan, create one. Then create a codespace with the following settings:
    • Codespace Name: A name for your codespace - for example, ai-fundamentals.
    • Git Repository: MicrosoftDocs/ai-fundamentals
    • Instance Type: Standard (Linux) 4 cores, 8GB RAM
    • Suspend idle Codespace after: 30 minutes
  3. Wait for the codespace to be created. This will take around 3 minutes. You'll see the following things happen:
    • A script will initialize and configure your codespace.
    • A list of notebook (.ipynb) files will appear in the pane on the left.
    • After a few minutes, a file named z REFRESH NOW! will appear at the bottom of the list of files. This is your indication that everything has been installed.
  4. After the z REFRESH NOW! file has appeared, refresh the web page to ensure all of the required extensions are loaded and set the color scheme to a light background. Then you're ready to start.
  5. After you have refreshed the web page, you can close the Welcome panes and delete the z REFRESH NOW file if you want to. You can also change the color scheme to suit your preference - just click the ⚙ icon at the bottom left and select a new Color Theme. A light color theme is recommended to make it easier to read the Python code in the notebooks.

Contributing

At this time, we are not accepting contributions to this repository. If you encounter an issue with the exercises, please report it.