Computer vision is an area of artificial intelligence that deals with visual perception. Azure AI Vision includes multiple services that support common computer vision scenarios.
This learning path helps prepare you for Exam AI-102: Designing and Implementing a Microsoft Azure AI Solution.
TARGET AUDIENCE:
Any professional interested in Azure AI Vision and/or wishing to prepare for the AI-102 exam: Designing and implementing a Microsoft Azure AI solution.
COURSE PREREQUISITES:
Before starting this learning path, you should already have:
• Familiarity with Azure and the Azure portal.
• Experience programming with C# or Python. If you have no previous programming experience, we recommend you complete the Take your first steps with C# or Take your first steps with Python learning path before starting this one.
COURSE CONTENT:
Module 1 Analyze images
With the Azure AI Vision service, you can use pre-trained models to analyze images and extract insights and information from them.
Module 2 Image classification with custom Azure AI Vision models
Classify images by training a custom model with Azure AI Vision.
Module 3 Detect, analyze, and recognize faces
The ability for applications to detect human faces, analyze facial features and emotions, and identify individuals is a key artificial intelligence capability.
Module 4 Read Text in images and documents with the Azure AI Vision Service
Azure’s AI Vision service uses algorithms to process images and return information. This module teaches you how to use the Image Analysis API for optical character recognition (OCR).
Module 5 Analyze video
Azure Video Indexer is a service to extract insights from video, including face identification, text recognition, object labels, scene segmentations, and more.
COURSE OBJECTIVE:
During this course, you will learn to:
• Analyze images
• Classify images with custom Azure AI Vision models
• Detect, analyze, and recognize faces
• Read Text in images and documents with the Azure AI Vision Service
• Analyze video
FOLLOW ON COURSES:
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