Building Multimodal Analysis Solutions with Azure Content Understanding

Organizations are flooded with unstructured data across different formats, from scanned documents and images to audio recordings and videos. Extracting meaningful insights from these diverse sources traditionally required multiple complex machine learning models. This course guides you through Azure Content Understanding, a unified service designed to extract structured schemas from multimodal content. You will learn how to define custom schemas, process diverse media assets, and integrate extracted structured data into modern downstream applications like search engines and generative AI pipelines. What you'll learn: - Understand the core concepts of multimodal AI and content analysis - Configure Azure Content Understanding to process text, images, audio, and video files - Define custom schemas to extract specific fields, tables, and key-value pairs - Apply API-first development patterns to integrate content extraction into your applications - Structure extracted data to support advanced retrieval-augmented generation (RAG) systems - Practice designing robust schemas for real-world document and media workflows The course begins with foundational definitions of multimodal analysis and Azure service architecture before moving into practical schema design and API integration techniques. Through clear, step-by-step written explanations and code examples, you will build a solid foundation for automating content ingestion. This course is designed for beginner developers, data analysts, and AI enthusiasts who want to learn multimodal data extraction. No prior experience with Azure AI services is required, though basic programming familiarity is helpful. Start reading today to unlock the hidden value in your unstructured documents and media.