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hands-on lab

Exploring Azure Computer Vision Solution and Vision Studio

Difficulty: Intermediate
Duration: Up to 1 hour
Students: 1,765
Rating: 4.5/5
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Description

Azure AI Foundry offers a set of services and tools to help developers build AI solutions. The services include pre-trained AI capabilities (e.g., vision, speech, language, knowledge), Bot Services, and Machine Learning. The tools include Azure Machine Learning Studio, Azure Machine Learning Workbench, and Azure Machine Learning Experimentation Service.

Azure Computer Vision is a cloud-based image analysis service that allows developers to build applications that can analyze the content of an image. The service can be used to analyze images for insights such as text extraction, object detection, and more. This unique offering from Microsoft enables organizations to build applications that can analyze images and make intelligent decisions based on the content of the image.

You will understand the core concepts of Azure Computer Vision by deploying a Computer Vision service and using it to analyze images and videos in this hands-on lab.

Learning objectives

Upon completion of this intermediate-level lab, you will be able to:

  • Understand the core concepts of Azure Computer Vision
  • Deploy a Computer Vision service
  • Use Computer Vision to analyze images and videos

Intended audience

  • Candidates for Azure AI Engineer Associate certification (AI-102)
  • Cloud Architects
  • DevOps Engineers
  • Machine Learning Engineers
  • Software Engineers

Prerequisites

Familiarity with the following will be beneficial but is not required:

  • Azure AI Foundry

The following content can be used to fulfill the prerequisites:

Updates

May 5th, 2025: Updated lab instructions

Environment before

Environment after

Covered topics

Artificial Intelligence
Microsoft Azure
Artificial Intelligence for Azure
Hands-on Lab UUID

Lab steps

0 of 3 steps completed.Use arrow keys to navigate between steps. Press Enter to go to a step if available.
  1. Logging in to the Microsoft Azure Portal
  2. Creating Azure Computer Vision Service Using Azure Portal
  3. Exploring Computer Vision Service Using Vision Studio

Lab Rules