In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images.
Computer Vision in Microsoft Azure
Computer Vision in Microsoft Azure
This course is part of multiple programs.
Instructor: Microsoft
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4.6
(101 reviews)
Beginner level
Recommended experience
8 hours to complete
3 weeks at 2 hours a week
Flexible schedule
Learn at your own pace
What you'll learn
How to identify Azure tools and services for computer vision tasks
How to identify common types of computer vision solutions
Skills you'll gain
Details to know
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Assessments
15 assignments
Taught in English
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There are 3 modules in this course
The Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications. In this module, you'll explore some of its capabilities as you learn how to use the Computer Vision service to analyze images.
What's included
6 videos5 readings5 assignments1 discussion prompt
Image classification is a common workload in artificial intelligence (AI) applications. In this module, you will learn how to harnesses the predictive power of machine learning to enable AI systems to identify real-world items based on images.
What's included
3 videos1 reading3 assignments
Face detection, analysis, and recognition is an important capability for artificial intelligence (AI) solutions. The Face cognitive service in Azure makes it easy integrate these capabilities into your applications. Optical character recognition (OCR) enables artificial intelligence (AI) systems to read text in images, enabling applications to extract information from photographs, scanned documents, and other sources of digitized text. Processing invoices and receipts is a common task in many business scenarios. Increasingly, organizations are turning to artificial intelligence (AI) to automate data extraction from scanned receipts. In this module, you will learn how you can use a mix of these services in Microsoft Azure to solve problems.
What's included
7 videos5 readings7 assignments1 discussion prompt
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RK
5
Reviewed on Jul 2, 2022
Excellent Course ! The course gave me lots of insights into implementing innovative AI solutions using Azure.
AC
5
Reviewed on Aug 31, 2021
Excellent course. Interesting material presented in an accessible way.
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Frequently asked questions
IT professionals interested in learning about the types of solutions artificial intelligence (AI) makes possible, and the services on Microsoft Azure that you can use to create them.
Working IT professionals looking for additional skills or credentials to demonstrate knowledge of common ML and AI workloads and how to implement them on Azure. IT professionals looking to specialize in the specific area of Artificial intelligence on Azure.
In Microsoft Azure, the Computer Vision cognitive service uses pre-trained models to analyze images, enabling software developers to easily build applications"see" the world and make sense of it. This ability to process images is the key to creating software that can emulate human visual perception. In this course, you'll explore some of these capabilities as you learn how to use the Computer Vision service to analyze images.
You should expect to spend at least an hour every week for three weeks to complete all aspects of this course.
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Financial aid available,