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.
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
