Microsoft Study Support

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 have solid understanding.

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Video: Microsoft Study Support

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

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

How Ari Works

Ari is an AI tutor that adapts to how you respond — here's what it does across sessions.

Your AI Tutor

Ari adjusts based on your responses. After a few sessions, it shifts its approach:

  • Teaches the concept first, then checks if it landed
  • Adjusts difficulty based on how you're responding
  • Remembers what you struggled with across sessions
  • Varies format: multiple choice, scenarios, worked examples
  • Flags potential misconceptions based on your answers
Your Learning Profile

After each session, the system updates a profile based on how you interact:

  • Notes which explanation styles you respond to
  • Detects when you seem disengaged and changes approach
  • Tracks what topics you've covered and what's remaining
  • Uses your interests to make examples more relevant
  • Builds on prior sessions instead of starting fresh
Study Suggestions

Ari can suggest what to focus on — but these are AI-generated suggestions, not guarantees:

  • Set a target timeline — Ari suggests a study sequence
  • Ask what to review — it suggests topics based on coverage gaps
  • Highlights areas where you seem less confident
  • Flags topics you haven't practiced in a while
  • Explains why it's suggesting each topic next

Ari is designed around learning science principles — but it's still an AI and can make mistakes.

How Ari Works →

Power Tips — Using Ari Effectively

Ari is an AI language model. It works well for studying — but it has real limitations.

What Works Well
Ask it to explain things differently

"Explain that differently" or "Give me a real-world example."

Ari can rephrase, use analogies, or break things into steps. If one explanation doesn't click, ask for another angle.

Say "quiz me"

"Quiz me on this topic" or "Give me a practice question."

Self-testing builds stronger memory than re-reading. Questions match what you've been studying.

Ask for structured breakdowns

"Show me a comparison table" or "List the steps."

Tables, step-by-step lists, and side-by-side comparisons can help organize complex material.

Ask for a study plan

"I have 30 days and can study 5 hours a week — help me plan."

Ari can suggest a sequence based on what you've covered so far. Use it as a starting point, not gospel.

What to Know
Ari can be wrong

It's a language model — it generates plausible-sounding text based on patterns, just like ChatGPT, Gemini, and Claude. It can state incorrect information confidently. Always verify important facts from official sources.

It's not good at debate

Ari assumes you're here to learn. If you argue or try to trip it up, it won't push back well — it may agree with incorrect statements or get confused. It's a study aid, not a sparring partner.

Progress indicators are the model's best guess

Any progress or mastery shown is the result of the model's pattern matching — not a real measurement. It can never be fully accurate because it's predicting, not testing.

Know what Ari is — and isn't

Ari is a free study tool. It doesn't administer exams, issue credentials, or measure your actual readiness. Exams and credentials come from independent organizations. Ari can help you study — that's it.

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

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Never Sold

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12 topics. Adaptive coaching. Solid understanding. 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. AI Bridge Foundation provides a free, general self-study support tool. Responses are AI-generated and may be inaccurate or wrong. Any progress or mastery indicator is the AI model's own output based on pattern matching — not a measure of actual knowledge or readiness. We do not administer exams or issue any credential; all certifications referenced are provided by independent third parties. 100% free — no fees, no work contract, no consideration required.

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