hands-on lab

Exploring Azure Computer Vision Solution and Vision Studio

Get guided in a real environmentPractice with a step-by-step scenario in a real, provisioned environment.
Learn and validateUse validations to check your solutions every step of the way.
See resultsTrack your knowledge and monitor your progress.
Lab description

Azure AI Services 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


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

  • Azure AI Services

The following content can be used to fulfill the prerequisites:

Environment before
Environment after
About the author
Parveen Singh
Cloud Lab Developer
Learning paths

Parveen is an Azure advocate with previous experience in the professional consulting services industries. He specializes in infrastructure and DevOps with a wide range of knowledge in security and access management. He is also an Azure Certified - DevOps Engineer Expert, Security Engineer, Developer Associate, Administrator Associate, CompTIA Certified - Network+, Security+, and AWS Cloud Practitioner.
Parveen enjoys writing about cloud technologies and sharing the knowledge with the community to help students upskill in the cloud.

Covered topics
Lab steps
Logging in to the Microsoft Azure Portal
Creating Azure Computer Vision Service Using Azure Portal
Exploring Computer Vision Service Using Vision Studio