• Course overview
  • Course details
  • Prerequisites

Course overview

About this course

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.

Audience profile

The primary audience for this course are 

  • AI Engineer
  • Developer
  • Azure AI services
  • Azure Computer Vision
  • Azure Face
  • Azure AI Video Indexer

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Course details

Module 1: Analyze images

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail

Module 2: Image classification with custom Azure AI Vision models

  • Create a custom Azure AI Vision classification model
  • Understand image classification
  • Understand object detection
  • Train an image classifier in Vision Studio

Module 3: Detect, analyze, and recognize faces

  • Identify options for face detection, analysis, and identification.
  • Understand considerations for face analysis.
  • Detect faces with the Computer Vision service.
  • Understand capabilities of the Face service.
  • Compare and match detected faces.
  • Implement facial recognition

Module 4: Read Text in images and documents with the Azure AI Vision Service

  • Read text from images using OCR
  • Use the Azure AI Vision service Image Analysis with SDKs and the REST API
  • Develop an application that can read printed and handwritten text

Module 5: Analyze video

  • Describe Azure Video Indexer capabilities
  • Extract custom insights
  • Use Azure Video Indexer widgets and APIs

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Prerequisites

  • 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.

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