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  • Lab
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    • AI
    • Cloud
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Labs

Analyzing Faces with Azure AI

In this hands-on lab, you’ll use a pre-provided command line application to utilize Azure AI Face to scan images with people in them and retrieve their facial attributes.

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Lab platform
Lab Info
Level
Beginner
Last updated
Sep 24, 2025
Duration
45m

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Table of Contents
  1. Challenge

    Review the image to be analyzed
    • Review the image provided for the lab (https://raw.githubusercontent.com/pluralsight-cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations/main/images/image-analysis/2-azureface-couple.jpg)
  2. Challenge

    Open and prepare the cloud shell
    • If you are unfamiliar with the cloud shell, it is the first icon to the right of the search bar. It looks like a command prompt icon.

    • When prompted for the environment, choose Bash.

    • When prompted that no storage is mounted, click show advanced settings and configure settings to use the pre-provided storage account.

  3. Challenge

    Prepare the application

    Run the following command to clone the GitHub repository that contains the image analysis application:

    git clone https://github.com/pluralsight-cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations.git

    Change directory into the created folder and install application requirements by running the following command:

    pip install -r requirements.txt

  4. Challenge

    Modify the pre-provided command line application
    • Copy KEY 1 from the Azure AI resource and paste it into the 2-face-analysis.py python file replacing the text that says "Paste_key_here" Make sure to keep the quotation marks around the key.

    • Copy the Endpoint from the Azure AI resource and paste it into the 2-face-analysis.py python file replacing the text that says "Paste_endpoint_here" Make sure to keep the quotation marks around the endpoint.

    • Save the file by pressing Crtl+S or by clicking on the right hand side of the editor below the X and hit save.

  5. Challenge

    Run the application and analyze faces

    Run the application by using the following command:

    python 2-face-analysis.py

    Review results of the image analysis.

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