Visual Data Analysis with Azure Generative AI Vision

Organizations are flooded with visual data, from scanned documents to images and video feeds, but extracting meaningful insights manually is slow and costly. Modern cloud services make it possible to automate this process using advanced generative AI and computer vision models. This course guides you through the foundational concepts and practical steps of using Azure AI services to analyze visual content. You will learn how to process images, extract structured information from unstructured documents, and leverage multimodal generative AI models to query visual data using natural language. What you'll learn: - Understand core computer vision concepts and Azure AI service architectures - Extract text and structured data from complex documents using Azure AI Document Intelligence - Apply generative AI vision models to describe, analyze, and query images with natural language - Implement Azure AI Vision for object detection, image tagging, and spatial analysis - Configure multimodal vector search to index and retrieve visual content efficiently - Practice responsible AI principles when processing and storing visual data The course begins with foundational definitions of computer vision and cloud AI architecture, before walking you through text-based guides on configuring services, writing API requests, and parsing structured JSON outputs. This course is designed for beginners, developers, and data enthusiasts looking to explore cloud-based AI vision tools without requiring prior machine learning experience. Start reading today to unlock the hidden value in your visual data.