Extract insights from visual data on Azure (AI-3008)

Develop a vision-enabled generative AI application

A picture says a thousand words, and multimodal generative AI models can interpret images to respond to visual prompts. Learn how to build vision-enabled chat apps.

• Introduction
• Use a vision-capable model in the Microsoft Foundry portal
• Develop a vision-based chat app
• Exercise – Develop a vision-enabled chat app
• Module assessment
• Summary

Generate images with AI

In Microsoft Foundry, you can use image generation models to create original images based on natural language prompts.

• Introduction
• What are image-generation models?
• Explore image-generation models in Microsoft Foundry portal
• Create a client application that uses an image generation model
• Exercise – Generate images with AI
• Module assessment
• Summary

Generate videos with Microsoft Foundry

Learn how to generate videos from text prompts with Sora 2 in Microsoft Foundry.

• Introduction
• Deploy a video generating model
• Generate video from a prompt
• Generate video in Python
• Exercise – Generate video with Sora 2 in Microsoft Foundry
• Module assessment
• Summary

Analyze images with Content Understanding

Learn how to analyze images with Azure Content Understanding.

• Introduction
• What is Content Understanding?
• Analyze images with Content Understanding
• Exercise – Analyze images with Content Understanding
• Module assessment
• Summary

Create a multimodal analysis solution with Azure Content Understanding

Use Azure Content Understanding for multimodal content analysis and information extraction.

• Introduction
• What is Azure Content Understanding?
• Create a Content Understanding analyzer
• Use the Content Understanding API
• Exercise – Extract information from multimodal content
• Module assessment
• Summary

Create an Azure Content Understanding client application

Use the Azure Content Understanding API for multimodal content analysis and information extraction.

• Introduction
• Prepare to use the AI Content Understanding API
• Create a Content Understanding analyzer
• Analyze content
• Exercise – Develop a Content Understanding client application
• Module assessment
• Summary

Extract data with Azure Document Intelligence

Azure Document Intelligence uses OCR and deep learning models to extract text, key-value pairs, tables, and structured data from forms and documents. Learn how to use prebuilt and custom models to automate document processing.

• Introduction
• What is Azure Document Intelligence?
• Use the Document Intelligence Studio
• Use prebuilt models
• Train and use custom models
• Exercise – Analyze documents with Document Intelligence
• Module assessment
• Summary

Create a knowledge mining solution with Azure AI Search

Unlock the hidden insights in your data with Azure AI Search. In this module, you’ll learn how to implement a knowledge mining solution that extracts and enriches data, making it searchable and ready for deeper analysis.

• Introduction
• What is Azure AI Search?
• Extract data with an indexer
• Enrich extracted data with AI skills
• Search an index
• Persist extracted information in a knowledge store
• Exercise – Create a knowledge mining solution
• Module assessment
• Summary

This course is designed for developers, AI engineers, and technical professionals who want to build applications that work with images and documents using multimodal, agent-driven approaches. It’s best suited for learners with basic programming experience and a general understanding of cloud or AI concepts.

Before starting this learning path, you should already have:

• Familiarity with Azure and Microsoft Foundry.
• Programming experience.

This 1‑day course focuses on building intelligent applications that can see, interpret, and reason over images and documents using different multimodal models and agent-based tools. Learners explore how visual and document inputs can be combined with language models to enable structured extraction, analysis, and decision-making workflows. The course emphasizes practical patterns for extracting information, orchestrating tools, and grounding model responses in visual data.