Build a computer vision app with Azure Cognitive Services

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In this Free 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

Showcase this hands-on experience in an interview

1.5
Intermediate
No download needed
Split-screen video
English
Desktop only

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: https://www.coursera.org/specializations/microsoft-azure-ai-900-ai-fundamentals

Requirements

Background knowledge on app/software development and cloud computing is required to complete this project.

Skills you will develop

  • Artificial Intelligence (AI)

  • Software Development

  • APIs

  • Cloud Computing

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  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.

How Guided Projects work

Your workspace is a cloud desktop right in your browser, no download required

In a split-screen video, your instructor guides you step-by-step

Frequently Asked Questions

Because your workspace contains a cloud desktop that is sized for a laptop or desktop computer, Guided Projects are not available on your mobile device.

Guided Project instructors are subject matter experts who have experience in the skill, tool or domain of their project and are passionate about sharing their knowledge to impact millions of learners around the world.

You can download and keep any of your created files from the Guided Project. To do so, you can use the “File Browser” feature while you are accessing your cloud desktop.

At the top of the page, you can press on the experience level for this Guided Project to view any knowledge prerequisites. For every level of Guided Project, your instructor will walk you through step-by-step.

Yes, everything you need to complete your Guided Project will be available in a cloud desktop that is available in your browser.

You'll learn by doing through completing tasks in a split-screen environment directly in your browser. On the left side of the screen, you'll complete the task in your workspace. On the right side of the screen, you'll watch an instructor walk you through the project, step-by-step.