AI-3004: Develop computer vision solutions in Azure

Length: 1 Day(s)     Cost:$895 + GST

= Scheduled class     = Guaranteed to run     = Fully booked

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LOCATION August September October November
Auckland
Hamilton
Christchurch
Wellington
Virtual Class

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.

Microsoft Applied Skills

Microsoft Applied Skills are scenario-based credentials that provide learners with validation of targeted skills. These credentials are an efficient and trusted way to identify and deepen proficiency in scenario-based skillsets. The interactive training and validation enable learners to demonstrate proficiency by completing real-world tasks.

Applied Skills can help students prepare for the workforce by providing them with real-world problem-solving experience and validation of their skills.


This course is for:

  • Developers
  • AI Engineers
  • App Makers

  • Familiarity with Azure and the Azure portal
  • Experience programming with C# or Python

After completing this course, students will be able to:

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail
  • Create a custom Azure AI Vision classification model
  • Understand image classification
  • Understand object detection
  • Train an image classifier in Vision Studio
  • 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
  • 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
  • Describe Azure Video Indexer capabilities
  • Extract custom insights
  • Use Azure Video Indexer widgets and APIs

Analyze images
  • Provision an Azure AI Vision resource.
  • Use the Azure AI Vision SDK to connect to your resource.
  • Write code to analyze an image.
  • Lab: Analyze images
Read text in images
  • Describe the OCR capabilities of Azure AI Vision's Image Analysis API.
  • Use the Azure AI Vision service Image Analysis API to extract text from images.
  • Lab: Read text in images
Detect, analyze, and recognize faces
  • Describe the capabilities of the Azure AI Vision Face service.
  • Write code to detect and analyze faces in an image.
  • Describe facial recognition support in Azure AI Vision Face.
  • Describe responsible AI considerations when developing facial solutions.
  • Lab: Detect and analyze faces
Classify images
  • Provision Azure resources for Azure AI Custom Vision
  • Train an image classification model
  • Use the Azure AI Custom Vision SDK to create an image classification client application
  • Lab: Classify images
Detect objects in images
  • Provision Azure resources for Azure AI Custom Vision
  • Understand object detection
  • Train an object detector
  • Use the Azure AI Custom Vision SDK to create an object detection client application
  • Lab: Detect objects in images