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Labs

Image Analysis with Azure AI

In this hands-on lab, you’ll use a pre-provided command-line application to utilize Azure AI Vision to scan images and get back an image description, image tags, and detect faces in the picture.

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Labs

Path Info

Level
Clock icon Beginner
Duration
Clock icon 45m
Last updated
Clock icon Sep 03, 2025

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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/1-computervision-couple.jpg)

    • Make some guesses about what description and tags might come back from the Azure AI Vision service.

  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.
    1. Open the Cloud Shell by selecting the command line icon in the top bar in the Azure Portal.
    2. When prompted for the environment, choose Bash.
    3. Choose Mount storage account.
    4. Choose the lab provided Storage account subscription.
    5. Click Apply.
    6. Choose Select existing storage account.
    7. Click** Next**.
    8. Make sure the lab provided Subsciption, Resource Group, and Storage account name are selected.
    9. Click Create a file share.
    10. Provide the name of imageanalysis and click Ok.
    11. Click Select. Your new Cloud Shell should appear.

  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 --user

  4. Challenge

    Modify the pre-provided command line application

    • Copy KEY 1 from the Azure AI resource and paste it into the 1-image-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 1-image-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 an image

    Run the application by using the following command:

    python /home/cloud/AI-900-Artificial-Intelligence-Workloads-and-Considerations/1-image-analysis.py

    Review results of the image analysis.

Pluralsight Skills - Labs - Pluralsight
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Pluralsight Skills

Pluralsight Skills gives leaders confidence they have the skills needed to execute technology strategy. Technology teams can benchmark expertise across roles, speed up release cycles and build reliable, secure products. By leveraging our expert content, skill assessments and one-of-a-kind analytics, keep up with the pace of change, put the right people on the right projects and boost productivity. It's the most effective path to developing tech skills at scale.

What's a lab?

Hands-on Labs are real environments created by industry experts to help you learn. These environments help you gain knowledge and experience, practice without compromising your system, test without risk, destroy without fear, and let you learn from your mistakes. Hands-on Labs: practice your skills before delivering in the real world.

Provided environment for hands-on practice

We will provide the credentials and environment necessary for you to practice right within your browser.

Guided walkthrough

Follow along with the author’s guided walkthrough and build something new in your provided environment!

Did you know?

On average, you retain 75% more of your learning if you get time for practice.
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