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Master Azure AI Vision for the AI-102 Certification
Rating: 4.2 out of 5(100 ratings)
1,047 students

Master Azure AI Vision for the AI-102 Certification

Master Azure AI Vision with image analysis, OCR, face detection & Custom Vision. Aligned with AI-102 exam objectives.
Created byTechLab Guru
Last updated 11/2025
English
English [Auto],

What you'll learn

  • Build intelligent apps using Azure AI Vision services for image classification, object detection, OCR, face detection, and image tagging.
  • Implement custom vision models in Azure to classify and detect objects tailored to real-world business needs and AI-102 certification scenarios.
  • Analyze videos using Azure Video Indexer to extract insights like spoken words, faces, emotions, and scene changes in a visual format.
  • Integrate Azure AI Vision APIs with Python or C# to build, test, and deploy vision-based applications in the cloud securely and efficiently.

Course content

5 sections • 21 lectures • 1h 5m total length

  • Azure AI Vision Image Analysis4:21

    Explore Azure AI Vision image analysis for caption generation, OCR, and object and face detection with bounding boxes. Learn how to use the service via portal, API, or code.

  • Hands-On: Azure AI Vision Studio Image Analysis5:31

    Explore image analysis with Azure AI Vision Studio by creating a vision resource in portal and detecting objects, captions, and bounding boxes via Visual Studio, REST API, Python, or .NET.

  • Hands-On: Image Analysis 4.0 REST API9:40

    Explore the image analysis 4.0 REST API to generate captions and read text from images using PowerShell, with keys and endpoint from the Azure AI Vision resource.

  • Documentation – Visual Features in Azure AI Vision0:01
  • Image Analysis -Regional API Endpoint vs Custom Subdomain API5:41

    Compare regional api endpoint and custom subdomain api for image analysis. Note domain and authentication: custom subdomain supports Microsoft Entra ID, while both rely on key-based authentication.

  • Documentation -Regional API Endpoint vs Custom Subdomain API
  • Questions - Azure AI Vision3:10

    Learn Azure AI Vision image analysis to detect clipart or line drawings with the image type feature via a post request, and apply OCR for PDFs.

  • Lab - Image Analysis 3.2 API endpoint using Python or C#0:18

Requirements

  • Basic knowledge of Microsoft Azure services and cloud concepts.
  • Familiarity with Python or C# programming (helpful but not mandatory).
  • Interest in AI, machine learning, or computer vision use cases.

Description

Unlock the power of computer vision using Microsoft Azure! In this hands-on course, you'll learn to build intelligent vision-based applications using Azure AI Vision services. Whether you're working with images or videos, you'll gain practical skills to analyze, classify, detect, and extract insights from visual content.

This course is perfect for developers, AI enthusiasts, and professionals looking to integrate vision capabilities into their solutions using Azure AI Services. By the end of this course, you'll be equipped to design and implement real-world computer vision applications in the cloud.

What You Will Learn:

  • Understand Azure AI Vision architecture and its key components

  • Analyze and classify images using pre-trained models

  • Perform object detection and facial recognition

  • Use Optical Character Recognition (OCR) to extract text from images

  • Generate image descriptions and tags automatically

  • Work with the Video Indexer for extracting insights from videos

  • Implement custom vision models for tailored business scenarios

  • Deploy vision solutions using REST APIs, SDKs, and Azure portal

How This Supports the AI-102 Exam:

This course maps directly to the “Develop Computer Vision Solutions” module in the AI-102: Designing and Implementing a Microsoft Azure AI Solution certification. Specifically, it helps you:

  • Gain practical experience using Cognitive Services – Vision APIs

  • Understand how to implement image classification and object detection

  • Prepare for real-world scenarios asked in the AI-102 case study questions

  • Learn how to integrate custom vision models for specific use cases

  • Master the deployment and monitoring of vision models on Azure

Prerequisites:

  • Basic understanding of Azure services

  • Familiarity with Python or C# (preferred, but not mandatory)

  • Enthusiasm to explore AI and computer vision use cases

Who this course is for:

  • Aspiring AI developers and data professionals preparing for the AI-102 certification.
  • Software engineers and solution architects looking to implement computer vision using Azure AI services.
  • Anyone with a basic understanding of Azure who wants hands-on experience with AI Vision APIs and Custom Vision.

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