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AI-3004: Build an Azure AI Vision solution with Azure AI services

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Course Overview

The AI-3004: Build an Azure AI Vision Solution with Azure AI Services course is designed for professionals who want to design, implement, and deploy computer vision solutions using Microsoft Azure AI services. This training equips participants with the knowledge and practical skills needed to leverage Azure Cognitive Services, Custom Vision, Face API, and Form Recognizer to develop AI-powered vision applications that solve complex business challenges.

Participants will learn how to process and analyse images, detect objects, recognise faces, extract information from documents, and implement intelligent vision pipelines. The course also covers solution architecture, data preparation, model training, deployment, integration, and monitoring, ensuring learners can deliver production-ready Azure AI Vision solutions.

By the end of this course, participants will have the expertise to create scalable, secure, and ethical AI vision applications, making them well-prepared to advance in AI engineering, computer vision, and cloud AI roles. The training also aligns with industry best practices and Microsoft Azure AI certifications.

In this course, you will learn how to:

  • Design solutions for image analysis using prebuilt features.
  • Create custom vision models for classification and object detection.
  • Perform optical character recognition (OCR) and extract insights from video.

Training Prerequisites

Before enrolling, students must possess:

  • Knowledge of Microsoft Azure and proficiency in navigating the Azure portal.
  • Proficiency in either C# or Python programming languages.
  • Familiarity with JSON and REST programming semantics.

Schedule Dates

13 April 2026
AI-3004: Build an Azure AI Vision solution with Azure AI services
13 July 2026
AI-3004: Build an Azure AI Vision solution with Azure AI services
19 October 2026
AI-3004: Build an Azure AI Vision solution with Azure AI services
25 January 2027
AI-3004: Build an Azure AI Vision solution with Azure AI services

Course Content

  • Provision an Azure AI Vision resource
  • Analyze an image
  • Generate a smart-cropped thumbnail and remove background
  • Exercise: Analyze images with Azure AI Vision

  • Understand custom model types
  • Create a custom project
  • Label and train a custom model
  • Exercise: Classify images with an Azure AI Vision custom model

  • 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

  • Explore Azure AI Vision options for reading text
  • Use the Read API
  • Exercise: Read text in images

  • Understand Azure Video Indexer capabilities
  • Extract custom insights
  • Use Video Analyzer widgets and APIs
  • Exercise: Analyze video

FAQs

This course is ideal for AI engineers, software developers, data scientists, cloud architects, and technical professionals looking to implement computer vision solutions using Azure AI services.

Yes. Participants will work on real-world scenarios, including image classification, object detection, facial recognition, document analysis, and automated vision pipelines.

Absolutely. The course teaches API-based integration, Azure Functions, and cloud deployment strategies to embed vision capabilities into web, mobile, and enterprise applications.

Yes. The course includes performance monitoring, scaling strategies, error handling, and operational best practices for production-grade AI vision applications.

Learners gain expertise in solution architecture, integration, pipeline automation, and governance, enabling them to implement vision solutions that meet enterprise standards.

This course prepares learners for Azure AI engineering roles, computer vision projects, and Microsoft AI certification pathways, supporting career growth in cloud AI, computer vision, and data-driven roles.