Analyzing Faces with Azure AI

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Cloud

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 Info

Level

Beginner

Last updated

Sep 24, 2025

Duration

45m

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)
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.
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
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.
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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