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AI-3004: Build an Azure AI Vision with Azure AI Services

Last Updated: 29-06-2026

The AI-3004: Build an Azure AI Vision with Azure AI Services course is designed for developers and AI professionals who want to unlock the full potential of computer vision and image processing using Azure AI services. This hands-on, expert-led training will guide you through building sophisticated vision-based AI applications leveraging Azure Cognitive Services, such as Computer Vision, Custom Vision, Face API, and Azure AI Vision Services.

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Course Prerequisites

  • Basic understanding of cloud computing and familiarity with Azure services.
  • Knowledge of AI and machine learning concepts, particularly around image processing and computer vision.
  • Familiarity with basic programming concepts and a programming language like Python or C#.
  • Experience with Azure Cognitive Services or Azure Machine Learning is helpful but not mandatory.

Learning Objectives

By the end of the AI-3004: Build an Azure AI Vision with Azure AI Services course, you will be able to:

  1. Understand the core concepts of computer vision and how they apply to real-world applications.
  2. Explore Azure AI Vision Services including Computer Vision, Custom Vision, and Face API to create and deploy vision AI applications.
  3. Implement image recognition and object detection using Azure’s pre-built models and Custom Vision to recognize and classify visual data.
  4. Build and deploy face recognition solutions to identify and analyze facial features in images and videos using Face API.
  5. Utilize Azure Cognitive Services to process and analyze images, extract insights, and recognize objects, text, and even emotions.
  6. Design AI solutions that scale with Azure cloud services to handle large image datasets and perform high-speed image processing.
  7. Create custom AI vision models tailored to specific business needs using Custom Vision and Azure AI services.
  8. Ensure the ethics, privacy, and security of AI-driven vision systems, maintaining responsible AI practices throughout development.
  9. Integrate vision AI applications with other Azure services such as Azure Functions and Azure Machine Learning for enhanced automation and deployment.
  10. Learn how to deploy vision AI solutions into production environments with the best practices for scalability, cost optimization, and monitoring.

Target Audience

This course is ideal for:

  • AI developers and machine learning engineers looking to gain specialized expertise in computer vision on the Azure platform.
  • Cloud architects and solution architects interested in designing vision-based AI applications using Azure Cognitive Services.
  • Software developers seeking to integrate AI vision capabilities such as image recognition, facial recognition, and object detection into their applications.
  • Business analysts and data scientists who want to explore AI solutions to enhance data analytics with vision-based insights.
  • IT professionals preparing for roles that require a strong understanding of how to implement vision AI solutions using Azure.

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