Build an Azure AI Vision Solution with Azure AI Services (AI-3004)
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.
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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.
Target Audience:
- AI Professionals
- Database Professionals
Course Objectives:
In this course, you’ll learn:
- Analyze images
- Image classification 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
Course Outline:
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.