AI-901 Microsoft Azure AI Fundamentals Study Cram

John Savill runs through the key concepts and Microsoft services covered by the AI-901 Azure AI Fundamentals exam, including responsible AI, Azure AI Foundry, models, agents, embeddings, and the main Azure AI service areas (language, speech, vision, and document extraction), plus core authentication options with keys and Entra ID.

Overview

This video is a study-cram style walkthrough aimed at helping viewers prepare for the AI-901: Microsoft Azure AI Fundamentals certification exam.

What the video covers

Study resources

• Official exam page and study guide:
  • https://learn.microsoft.com/credentials/certifications/exams/ai-901/
  • https://learn.microsoft.com/credentials/certifications/resources/study-guides/ai-901
• Whiteboard reference:
  • https://github.com/johnthebrit/CertificationMaterials/raw/main/whiteboards/AI-901Neat.png

AI fundamentals

• What AI is (high-level fundamentals)
• Assistants and agents
• Responsible AI concepts

Azure, identity, and authentication basics

• Azure and Microsoft Entra ID (Azure AD)
• Endpoints, keys, and Entra-based authentication

Azure AI Foundry and building blocks

• Microsoft (Azure) AI Foundry concepts
• Models
• Agents
• Tools and knowledge
• Agent walkthrough (conceptual)
• Application integration with Foundry
• Foundry-generated code (conceptual)
• Custom AI application (conceptual)

Generative AI and embeddings

• Generative AI concepts
• Embeddings (high-level)

Other Azure AI services (survey)

• Natural Language Processing
• Speech
• Computer vision
• Image and video generation
• Information extraction

Snippet shown in the description

The description includes an example of setting an environment variable for an Azure OpenAI key:

powershell $Env:AZURE_OPENAI_KEY = ‘YOURKEYHERE’