Computer Vision in Microsoft Azure
This course is part of multiple programs. Learn more.
Course Cost
Free course
Beginner
Skill Level
7 Hours
Self-paced lessons
The Computer Vision cognitive service in Microsoft Azure uses pre-trained models to analyze images, enabling developers to build applications that can "see" and understand visual content. This course explores the capabilities of Azure's Computer Vision services, teaching you how to analyze images, classify visual content, detect objects, and extract information from faces and text. You'll learn to implement image analysis that identifies scenes and activities, create custom image classification solutions, develop object detection applications, analyze faces for attributes and emotions, and extract text from images and receipts. Through practical exercises, you'll gain hands-on experience with Azure cognitive services that empower applications to process and understand visual data. This course helps prepare you for the AI-900 Microsoft Azure AI Fundamentals certification exam.
What you'll learn
Analyze images to identify objects, scenes, activities, and attributes using Azure Computer Vision service
Implement image classification to categorize visual content into predefined classes
Develop object detection solutions that identify and locate multiple items within images
Create applications that can detect and analyze faces for attributes, emotions, and recognition
Extract text from images using optical character recognition (OCR) capabilities
Process receipts and forms to automatically extract structured data
Integrate Azure cognitive services into applications for practical computer vision scenarios
Skills you'll gain
This course includes:
0.75 Hours PreRecorded video
15 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 3 modules in this course
This course provides a comprehensive introduction to computer vision capabilities in Microsoft Azure. Students learn to use Azure's pre-trained cognitive services to analyze and understand visual information without requiring deep machine learning expertise. The curriculum is organized into three main modules covering different aspects of computer vision: image analysis and classification, object detection, and specialized analysis for faces, text, and receipts. Through hands-on exercises, students gain practical experience implementing these technologies using Azure's cognitive services. The course teaches how to extract meaningful information from images, create custom vision models for specific needs, and integrate these capabilities into applications. This foundation in computer vision prepares students for the AI-900 certification while providing practical skills applicable to real-world AI development.
Analyze and Classify Images with the Computer Vision Service
Module 1 · 3 Hours to complete
Detect objects in images with the Custom Vision service
Module 2 · 1 Hours to complete
Analyze Faces, Text, and Receipts with Azure AI
Module 3 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Building AI Cloud Apps with Microsoft Azure, Microsoft Azure AI Fundamentals AI-900 Exam Prep
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
Frequently asked Questions
Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.




