Microsoft Azure AI Fundamentals (AI-901) (อบรมพร้อมสอบ)

เนื้อหาการอบรม

• Part 1 Identify AI concepts and capabilities
  • Module 1 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
  • Module 2 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
  • Module 3 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
• Part 2 Implement AI solutions by using Microsoft Foundry
  • Module 4 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
  • Module 5 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
  • Module 6 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
  • Module 7 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