Build a computer vision app with Azure Cognitive Services

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In this Guided Project, you will:

Create a Computer Vision Cognitive Services resource using the Azure Portal

Use the resource via the API console and understanding how predictions are made

Understand the different API variations and features that Computer Vision offers

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By the end of this project, you will have successfully created an Azure account, logged into the Azure Portal, created a Computer Vision Cognitive Services resource and use it by executing API calls to generate predictions. You will learn to execute API calls to the pre-built Computer Vision resource through a series of tasks which include creating the appropriate resource to realize the API calls and then providing a clear example through the Microsoft API portal on how these can be executed. The skills learned in this guided project will provide the foundation to understanding and implementing Artificial Intelligence & Machine Learning solutions in Microsoft Azure. If you enjoy this project, we recommend taking the Microsoft Azure AI Fundamentals AI-900 Exam Prep Specialization:

Skills you will develop

  • Artificial Intelligence (AI)
  • Software Development
  • APIs
  • Cloud Computing

Learn step-by-step


  1. Create a free trial account in Microsoft Azure and log into Azure using your new subscription.

  2. Create a Resource Group in preparation for creating a new Computer Vision resource.

  3. Create a Computer Vision API resource.

  4. Identify the URL and key needed for API calls and access the API console.

  5. Learn how API calls can be executed.

  6. Interpret the result of the executed API call.

  7. Understand the difference between synchronous and asynchronous.

  8. Understand the variety of APIs available in Computer Vision and how can they be integrated in applications.

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