AI-901 20/25: Interpreting Images with Multimodal Models | Microsoft Azure AI Fundamentals

Interpreting Images with Multimodal Models explained for the Microsoft Azure AI Fundamentals exam: to interpret visual input, deploy a vision-enabled chat model and send the image in the message as an image_url content part (a URL or base64 data URL) together with a text question, set max tokens, and ask specific questions with structured output; content filtering applies, and outputs should be reviewed for high-stakes decisions. Interpreting Images with Multimodal Models is in Domain 2, Implement AI Solutions by Using Microsoft Foundry, which is 55–60% of the AI-901 exam. This exam-focused lesson is for beginners starting a career in AI solution development on Azure preparing for the certification. What you will learn: • What multimodal models do • Sending an image in a prompt • Writing good image prompts • Use cases • Limits and review • Exam traps and self-check questions CHAPTERS 00:00 Interpreting images with multimodal models for the AI-901 exam 00:22 What multimodal models do 00:45 Sending an image in a prompt 01:12 Writing good image prompts 01:36 Use cases 02:06 Limits and review 02:35 Exam traps for image prompts 02:59 Self-check questions AI-901 full course: video 20 of 25, in blueprint order (Domain 1 to Domain 2). Next: Generating Images with Generative Models. Facts checked against the official Microsoft AI-901 study guide and Microsoft Learn documentation on 2026-10-21. Skills measured and weights are from the official Microsoft study guide for AI-901 (skills measured as of April 15, 2026; checked October 2026). Unofficial study material, not affiliated with or endorsed by Microsoft. Confirm against the current study guide before you sit the exam. Subscribe to Core Concept Learning for clear, visual explanations of AI and software engineering concepts. #AI901 #AzureAI #ComputerVision