Computer Vision in Microsoft Azure
Build AI applications with Azure Computer Vision, mastering image classification, object detection, face analysis, and text recognition.
Build AI applications with Azure Computer Vision, mastering image classification, object detection, face analysis, and text recognition.
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.
4.6
(92 ratings)
9,033 already enrolled
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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
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
Instructor
Empowering Individuals and Organizations Through Technology
Microsoft's mission is "to empower every person and every organization on the planet to achieve more," reflecting its commitment to leveraging technology for global empowerment. The company aims to drive digital transformation through an integrated cloud approach, creating a robust platform that enhances productivity and accessibility for users worldwide. Its vision statement emphasizes the goal of democratizing artificial intelligence, ensuring that AI technologies are accessible and beneficial for everyone. This focus on empowerment and inclusivity underpins Microsoft's strategies and product development, positioning it as a leader in innovation within the technology sector. The company has consistently pursued excellence by fostering a culture of innovation, diversity, and corporate social responsibility, ultimately aiming to improve quality of life and facilitate progress across various fields, including education, healthcare, and business.
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4.6 course rating
92 ratings
Frequently asked questions
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