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Create computer vision solutions with Azure AI Vision
Course Description
Overview
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.
Objectives
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.
Topics
- Introduction
- Provision an Azure AI Vision resource
- Analyze an image
- Generate a smart-cropped thumbnail and remove background
- Exercise - Analyze images with Azure AI Vision
- Knowledge check
- Introduction
- Understand custom model types
- Create a custom project
- Label and train a custom model
- Exercise - Classify images with an Azure AI Vision custom model
- Knowledge check
- Introduction
- Identify options for face detection analysis and identification
- Understand considerations for face analysis
- Detect faces with the Azure AI Vision service
- Understand capabilities of the face service
- Compare and match detected faces
- Implement facial recognition
- Exercise - Detect, analyze, and identify faces
- Knowledge check
- Introduction
- Explore Azure AI Vision options for reading text
- Use the Read API
- Exercise - Read text in images
- Knowledge Check
- Introduction
- Understand Azure Video Indexer capabilities
- Extract custom insights
- Use Video Analyzer widgets and APIs
- Exercise - Analyze video
- Knowledge check
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- Standalone learning or supplemental reinforcement.
- e-Learning content varies by course and technology.
- View the Self-Paced version of this outline and what is included in the SPVC course.
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