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  • Description
  • Content
  • Target Audience
  • Certificates

AI-3004 introduces learners to building intelligent computer vision applications using Azure AI Vision. The course focuses on practical scenarios such as analyzing images, recognizing faces, reading text from documents, and processing video content. Participants will learn to use both prebuilt and custom models to classify visual data and extract meaningful insights, enabling automation and enhanced decision-making in real-world applications.

 

Through guided modules, learners will develop solutions that integrate Azure AI Vision capabilities into broader systems, including custom image classifiers and facial recognition tools. The course also covers how to read printed and handwritten text using OCR and how to analyze video streams for actionable data. By the end of the course, participants will be able to design and deploy computer vision solutions using Azure services and earn a Microsoft credential that validates their applied skills in visual AI technologies.

Contents:

 

  • Analyze images to extract visual features and insights.
  • Image classification with custom Azure AI Vision models to categorize images based on custom training.
  • Detect, analyze, and recognize faces using facial recognition capabilities.
  • Read text in images and documents with the Azure AI Vision Service to extract printed and handwritten content.
  • Analyze video to detect and interpret visual content in motion.

This course is intended for individuals looking to develop computer vision solutions using Azure AI Vision. Learners should be familiar with the Azure portal and have basic programming experience in C# or Python. It’s suitable for those aiming to build applications that analyze images, recognize faces, extract text, and process video using prebuilt and custom models.

Build an Azure AI Vision solution with Azure AI services, issued by Microsoft upon successful completion of the applied skills assessment.

Description

AI-3004 introduces learners to building intelligent computer vision applications using Azure AI Vision. The course focuses on practical scenarios such as analyzing images, recognizing faces, reading text from documents, and processing video content. Participants will learn to use both prebuilt and custom models to classify visual data and extract meaningful insights, enabling automation and enhanced decision-making in real-world applications.

 

Through guided modules, learners will develop solutions that integrate Azure AI Vision capabilities into broader systems, including custom image classifiers and facial recognition tools. The course also covers how to read printed and handwritten text using OCR and how to analyze video streams for actionable data. By the end of the course, participants will be able to design and deploy computer vision solutions using Azure services and earn a Microsoft credential that validates their applied skills in visual AI technologies.

Content

Contents:

 

  • Analyze images to extract visual features and insights.
  • Image classification with custom Azure AI Vision models to categorize images based on custom training.
  • Detect, analyze, and recognize faces using facial recognition capabilities.
  • Read text in images and documents with the Azure AI Vision Service to extract printed and handwritten content.
  • Analyze video to detect and interpret visual content in motion.
Target Audience

This course is intended for individuals looking to develop computer vision solutions using Azure AI Vision. Learners should be familiar with the Azure portal and have basic programming experience in C# or Python. It’s suitable for those aiming to build applications that analyze images, recognize faces, extract text, and process video using prebuilt and custom models.

Certificates

Build an Azure AI Vision solution with Azure AI services, issued by Microsoft upon successful completion of the applied skills assessment.

Our students for us:

  • - Marko Krstevski Microsoft .NET Academy

    Seeking to expand my knowledge, I decided to enroll in Semos Education, where I am gaining the necessary knowledge and experience.

  • - Teodor Markovski Student

    The desire to become a Cloud architect led me to Semos Education. I am thrilled by the positive experiences of former students and the way in which the instructors and Career Center take care of the students.

Contact

  • Irena Ivanovska Senior Director
    +389 70 246 146 irena@semos.com.mk