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Coursera

Build a Computer Vision App with Azure Cognitive Services

  • up to 2 hours
  • Intermediate

This guided project will teach you how to create a computer vision app using Azure Cognitive Services. Gain practical experience in AI and cloud computing, and learn to execute API calls to generate predictions.

  • Computer Vision
  • API Integration
  • Azure Cognitive Services
  • AI/ML Solutions

Overview

In this comprehensive guided project, you will learn to create and use a Computer Vision Cognitive Services resource on Microsoft Azure. Through hands-on tasks, you will gain practical experience in executing API calls and understanding the various features of Computer Vision. This project is designed to provide a solid foundation in AI and machine learning solutions within the Azure environment.

  • Web Streamline Icon: https://streamlinehq.com
    Online
    course location
  • Layers 1 Streamline Icon: https://streamlinehq.com
    English
    course language
  • Self-paced
    course format
  • Live classes
    delivered online

Who is this course for?

Software Developers

Individuals with a background in app or software development looking to expand their skills in cloud computing and AI.

IT Professionals

IT professionals seeking to enhance their knowledge of Microsoft Azure and its AI capabilities.

AI Enthusiasts

Individuals interested in learning about computer vision and its applications in real-world scenarios.

This course offers a practical introduction to building computer vision applications using Azure Cognitive Services. Ideal for software developers and IT professionals, it covers key AI and cloud computing concepts, helping learners enhance their skills and advance their careers.

Pre-Requisites

1 / 3

  • Background knowledge on app/software development

  • Experience with cloud computing

  • Familiarity with Microsoft Azure

What will you learn?

Create a Free Trial Account in Microsoft Azure
Learn how to create a free trial account in Microsoft Azure and log into Azure using your new subscription.
Create a Resource Group
Prepare for creating a new Computer Vision resource by setting up a Resource Group.
Create a Computer Vision API Resource
Set up a Computer Vision API resource to enable API calls and predictions.
Identify URL and Key for API Calls
Learn to identify the URL and key needed for API calls and access the API console.
Execute API Calls
Understand how API calls can be executed and interpret the results.
Synchronous vs Asynchronous
Understand the difference between synchronous and asynchronous API calls.
Variety of APIs in Computer Vision
Explore the different APIs available in Computer Vision and their integration in applications.

What learners say about this course

  • Another tool to add to my toolbox. Great guided project!

    Reviewed on March 11, 2023

    Former Student

  • Amazing explanation... Can't believe this is for free! Thanks a lot.

    Reviewed on July 1, 2023

    Former Student

  • It's the best platform to gather excellent knowledge.

    Reviewed on March 30, 2024

    Former Student

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