Microsoft Azure AI Fundamentals (New)

categoryTopics Covered

Microsoft's own objectives, in the order the exam presents them. Each area links to its section on Microsoft Learn. Checked 2026-10-26.

1. 1Identify AI concepts and capabilities40–45%expand_more

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   Describe principles of responsible AI

   • Describe considerations for fairness in an AI solution
   • Describe considerations for reliability and safety in an AI solution
   • Describe considerations for privacy and security in an AI solution
   • Describe considerations for inclusiveness in an AI solution
   • Describe considerations for transparency in an AI solution
   • Describe considerations for accountability in an AI solution

   Identify AI model components and configurations

   • Describe how generative AI models work
   • Identify an appropriate AI model, based on capabilities
   • Identify appropriate model deployment options and configuration parameters

   Identify AI workloads

   • Identify scenarios for common AI workloads, including generative and agentic AI, text analysis, speech, computer vision, and information extraction
   • Describe common text analysis techniques, including keyword extraction, entity detection, sentiment analysis, and summarization
   • Identify features and capabilities of speech recognition and speech synthesis
   • Identify features and capabilities of computer vision and image-generation models
   • Identify techniques to extract information from text, images, audio, and videos
2. 2Implement AI solutions by using Microsoft Foundry55–60%expand_more

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   Implement generative AI apps and agents by using Foundry

   • Create effective system and user prompts for generative AI models
   • Deploy a model and interact with it in the Foundry portal
   • Create a lightweight chat client application by using the Foundry SDK
   • Create and test a single-agent solution in the Foundry portal
   • Create a lightweight client application for an agent

   Implement AI solutions for text and speech by using Foundry

   • Build a lightweight application that includes text analysis
   • Respond to spoken prompts by using a deployed multimodal model
   • Build a lightweight application by using Azure Speech in Foundry Tools

   Implement AI solutions with computer vision and image-generation capabilities by using Foundry

   • Interpret visual input in prompts by using a deployed multimodal model
   • Create new visual outputs by using generative models
   • Build a lightweight application that includes vision capabilities

   Implement AI solutions for information extraction by using Foundry

   • Extract information from documents and forms by using Azure Content Understanding in Foundry Tools
   • Extract information from images by using Content Understanding
   • Extract information from audio and video by using Content Understanding
   • Build a lightweight application with information extraction capabilities by using Content Understanding

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