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Microsoft Azure AI Fundamentals (AI-901) Crash Course

Published by O'Reilly Media, Inc.

Beginner content levelBeginner

Developing smart applications using Azure AI services

What you’ll learn and how you can apply it

  • Describe principles of responsible AI
  • Identify AI model components and configurations
  • Identify Azure AI workloads
  • Implement generative AI apps and agents using Foundry
  • Use Foundry to implement AI solutions for text and speech
  • Use Foundry to implement AI solutions with computer vision and image-generation capabilities
  • Use Foundry to implement AI solutions for information extraction
  • Prepare for Exam AI-901: Microsoft Azure AI Fundamentals

Course description

Artificial intelligence was once expensive, complex, and available mainly to large organizations. Building intelligent applications often required deep expertise, significant computing power, and large investments in both infrastructure and model development.

Cloud computing has made AI far more accessible. In this crash course, Reza Salehi introduces the core concepts of artificial intelligence, machine learning, generative AI, and AI workloads on Azure. You’ll also explore the Azure services and tools that support modern AI solutions, including Microsoft Foundry and Azure AI services.

This live event is for you because...

  • You anticipate working in AI solution development.
  • You want to build foundational knowledge of AI workloads and Azure AI services.
  • You work with, or plan to work with, Azure and Microsoft Foundry to create AI solutions.
  • You want to prepare for and earn the Microsoft Certified: Azure AI Fundamentals certification.

Prerequisites

  • Basic Python knowledge
  • General application development background
  • Familiarity with Azure resources and the Azure portal
  • Azure fundamentals-level knowledge (helpful but not required)

Recommended follow-up:

Schedule

The time frames are only estimates and may vary according to how the class is progressing.

Introduction (5 minutes)

  • Presentation: What to expect from this course; about exam AI-901
  • Q&A

Describe principles of responsible AI (5 minutes)

  • Presentation: Describe considerations for fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability in an AI solution
  • Q&A

Identify AI model components and configurations (30 minutes)

  • Presentation: Describe how generative AI models work; identify an appropriate AI model based on capabilities; identify appropriate model deployment options and configuration parameters
  • Q&A

Identify AI workloads (45 minutes)

  • Presentation: 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
  • Q&A
  • Break

Implement generative AI apps and agents by using Foundry (45 minutes)

  • Presentation: 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
  • Q&A
  • Break

Implement AI solutions for text and speech by using Foundry (45 minutes)

  • Presentation: 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
  • Q&A

Implement AI solutions with computer vision and image-generation capabilities by using Foundry (30 minutes)

  • Presentation: 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
  • Q&A

Implement AI solutions for information extraction by using Foundry (30 minutes)

  • Presentation: Extract information from documents and forms by using Azure Content Understanding in Foundry Tools (images, audio, and video); build a lightweight application with information extraction capabilities by using Content Understanding
  • Q&A

Wrap-up and Q&A (5 minutes)

Your Instructor

  • Reza Salehi

    Reza Salehi is a cloud infrastructure architect and Microsoft Certified Trainer alumnus. He has trained thousands of students in live, on-demand, and in-person courses and is passionate about helping developers and engineers build practical cloud skills. With a background in software development, he also helps organizations adopt modern cloud solutions through consulting and training.

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Skills covered

  • AI-900: Microsoft Azure AI Fundamentals
  • Generative AI
  • AZ-900: Microsoft Azure Fundamentals