Microsoft Certification Prep

AI-901: Azure AI Fundamentals

Prove you understand AI to your employer — without writing code. AI-901 is the Microsoft cert that opens doors in any department. Ari coaches you through all 12 topics until you're exam-ready.

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Ari Knows You — And Gets Smarter Every Session

This isn't a chatbot with a script. Ari builds a model of YOU as a learner.

Your Personal Tutor

Every conversation teaches Ari more about you. After a few sessions, Ari adapts automatically:

  • Teaches the concept first, then checks understanding
  • Adjusts difficulty based on your mastery level
  • Remembers what you struggled with — never starts from zero
  • Varies format: multiple choice, scenarios, worked examples
  • Builds your Learning DNA — a profile of how YOU learn
Your Study Coach

Beyond teaching topics, Ari helps you pass the actual exam with strategic guidance:

  • Set a target date — Ari builds a week-by-week plan
  • Ask "Am I ready?" — honest answer based on your real data
  • Prioritizes high-weight exam areas where you're weakest
  • Flags topics you haven't practiced in a while
  • Test-taking strategy specific to your exam format

What the Exam Covers

Two domains. One focused on concepts, one on building. Both tested through scenarios.

Domain 1: Concepts
40-45%
  • Responsible AI principles
  • AI model types, capabilities, and configuration
  • AI workloads: generative AI, text, speech, vision, extraction
  • NLP, computer vision, and speech concepts
Domain 2: Implementation
55-60%
  • Microsoft Foundry: deploy models, playground, SDK
  • Build generative AI apps and agents
  • Text analysis, speech, and vision solutions
  • Information extraction with Content Understanding

Who This Is For

Good fit
  • Aspiring AI/ML engineers starting with fundamentals
  • Developers adding Azure AI to their skillset
  • IT professionals transitioning into AI roles
  • Students preparing for their first Microsoft cert
  • Non-technical staff who want to understand AI on Azure
Prerequisites
  • Basic Python syntax (variables, functions, loops)
  • Familiarity with cloud concepts (what a subscription/resource is)
  • No AI/ML experience required — that's what you'll learn
  • No Azure subscription needed for this course

12 Topics. Complete Coverage.

Every exam skill bullet mapped to a conversation with Ari.

AI Concepts & Responsibilities
1. Introduction to AI Concepts

Understand what AI is, how it relates to machine learning and deep learning, and identify different types of AI models and their capabilities

AI Concepts & Responsibilities
2. Responsible AI Principles

Apply Microsoft's six responsible AI principles to real-world scenarios — fairness, reliability, privacy, inclusiveness, transparency, and accountability

AI Concepts & Responsibilities
3. Generative AI & Agents

Understand how generative AI models and AI agents work — from LLMs and prompts to agentic workflows

AI Concepts & Responsibilities
4. AI Workloads Overview

Identify common AI workloads and match them to appropriate Azure services — generative AI, text analysis, speech, computer vision, and information extraction

AI Concepts & Responsibilities
5. NLP & Text Analysis Concepts

Deeper dive into natural language processing — how text analysis, language understanding, and text generation work under the hood

AI Concepts & Responsibilities
6. Speech & Computer Vision Concepts

Understand how speech recognition, synthesis, computer vision, and image generation work conceptually

Implement AI Solutions
7. Getting Started with Microsoft Foundry

Navigate the Microsoft Foundry portal — deploy models, use the playground, understand projects, and set up authentication

Implement AI Solutions
8. Building Generative AI Apps & Agents

Create chat applications and AI agents using the Foundry SDK — from simple completions to single-agent solutions with tools

Implement AI Solutions
9. Implementing Text & Speech Solutions

Build applications that analyze text using Azure Language and respond to spoken prompts using Azure Speech in Foundry Tools

Implement AI Solutions
10. Implementing Computer Vision & Image Generation

Analyze images with multimodal models, generate images with DALL-E, and build vision-enabled applications

Implement AI Solutions
11. Implementing Information Extraction

Extract structured information from documents, images, audio, and video using Azure Content Understanding in Foundry Tools

Exam Preparation
12. Exam Strategy & Scenario Drills

Practice exam-style scenarios, learn question patterns, identify common traps, and build confidence for test day

Ask Ari How It Works

Ask how Ari adapts to you, what it tracks about your learning, or how the study coach helps you pass.

Hey! 👋 I'm Ari — your AI coach for the AI-901 exam. I teach Azure AI through conversation, not documentation. Ask me how it works or what makes this different from Microsoft Learn.

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12 topics. Adaptive coaching. Exam-ready confidence. The only cost is the $165 exam fee to Microsoft.

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Disclaimer: Microsoft®, Azure®, and AI-900 are trademarks of Microsoft Corporation, which is not affiliated with this website. Tutoring conversations are generated by AI (Claude by Anthropic) and may contain errors. This is a free test preparation tool designed to supplement your study — not replace official instruction. AI Bridge Foundation is a 501(c)(3) nonprofit and is not affiliated with, endorsed by, or partnered with any certification body or testing organization mentioned on this page.

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