Microsoft Certification Prep

AI-901: Azure AI Fundamentals

Study with an AI coach that adapts to you. Ari targets your weak spots, drills you with exam scenarios, and tracks your progress across all 12 topics.

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Video: AI-901 Azure AI Fundamentals exam prep with Ari

Why Study with Ari

Targets Your Gaps

Ari remembers what you know and what you don't. Every session focuses on YOUR weak spots.

Exam-Style Drills

Practice with scenarios that mirror real AI-901 questions. Build confidence before test day.

Code Walkthroughs

SDK patterns, API calls, and Python snippets explained through conversation. No Azure subscription needed.

Track Readiness

See your mastery level per topic. Know when you're ready to schedule the exam.

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

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

How Ari Prepares You

Not flashcards. Not video lectures. A conversation that adapts to what you actually need.

Assesses First

Ari starts by finding out what you already know. Already familiar with responsible AI? Skip it. Struggle with Foundry SDK patterns? Deep dive.

Drills Like the Exam

"A company needs to extract data from scanned invoices. Which service?" — Ari generates unlimited scenario questions tailored to your gaps.

Tells You When You're Ready

Track mastery per topic. When all 12 hit "confident" — you're ready to book the exam with confidence.

Ask Ari About the Exam

Not sure if you're ready? Ask about prerequisites, study time, or anything about AI-901.

Hey! 👋 I'm Ari — your AI study partner for the AI-901 exam. I can help you understand what the exam covers, how to prepare, or give you a sample question right now to see where you stand. What's on your mind?

Who This Is For

Good fit
  • Aspiring AI/ML engineers starting with fundamentals
  • Developers who want to add Azure AI to their skillset
  • IT professionals transitioning into AI roles
  • Students preparing for their first Microsoft certification
  • Anyone with basic Python who wants 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

Get Microsoft Certified. For Free.

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

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