Exam AI-901 Microsoft Azure AI Fundamentals

Module 1: Identify AI concepts and capabilities (40–45%)

• 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

Module 2: Implement AI solutions by using Microsoft Foundry (55–60%)

• 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