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Develop computer vision solutions in Azure (AI-3004)

Course Length: 1 day

Explore Azure AI Vision to harness computer vision technologies and enhance visual perception with powerful Azure AI services.

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Develop computer vision solutions in Azure

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Price per student
$681.10
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  • Live expert instructor
  • Online or on‑location
  • Customizable agenda
  • Proposal turnaround within 1–2 business days
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Course Overview

Learn how to develop computer vision solutions in Azure

Course Benefits

  • Provision and configure Azure AI Vision resources to enable image analysis capabilities.
  • Analyze images with Azure AI Vision by extracting information, classifying content, and reading text (OCR).
  • Detect, analyze, and recognize faces including planning face-based solutions and applying responsible AI principles.
  • Train, publish, and consume custom models for image classification and object detection using Azure AI Custom Vision.
  • Develop client applications that use image classification and object detection models to identify objects in images.
  • Analyze video content with Azure Video Indexer, extracting faces, text, objects, and scene-level insights.
  • Build vision-enabled generative AI applications by deploying multimodal models, creating vision-based chat apps, and generating images with AI.

Delivery Methods

Public Class
Live expert-led online training from anywhere. Guaranteed to run .
Private Class
Delivered for your team at your site or online.

Microsoft Certified Partner

Webucator is a Microsoft Certified Partner. This class uses official Microsoft courseware and will be delivered by a Microsoft Certified Trainer (MCT).

Course Outline

  1. Analyze images
    1. Provision an Azure AI Vision resource
    2. Analyze an image
  2. Read text in images
    1. Explore Azure AI options for reading text
    2. Read text with Azure AI Vision Image Analysis
  3. Detect, analyze, and recognize faces
    1. Plan a face detection, analysis, or recognition solution
    2. Detect and analyze faces
    3. Verify and identify faces
    4. Responsible AI considerations for face-based solutions
  4. Classify images
    1. Azure AI Custom Vision
    2. Train an image classification model
    3. Create an image classification client application
  5. Detect objects in images
    1. Use Azure AI Custom Vision for object detection
    2. Train an object detector
    3. Develop an object detection client application
  6. Analyze video
    1. Understand Azure Video Indexer capabilities
    2. Extract custom insights
    3. Use Video Analyzer widgets and APIs
  7. Develop a vision-enabled generative AI application
    1. Deploy a multimodal model
    2. Develop a vision-based chat app
  8. Generate images with AI
    1. What are image-generation models?
    2. Explore image-generation models in Azure AI Foundry portal
    3. Create a client application that uses an image generation model

Class Materials

Each student receives a comprehensive set of materials, including course notes and all class examples.

Class Prerequisites

Experience in the following is required for this AI class:

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

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