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.

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

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