AI-900Exam Domain

AI Workloads and Considerations (15–20%)AI-900 Study Guide

14 chapters

~350 min total

Free — no signup required

AI Workloads and Considerations (15–20%) Chapters

What is Artificial Intelligence?

Objective 1.1 · AI Workloads

25m

Types of AI Workloads

Objective 1.1 · AI Workloads

25m

Responsible AI Principles

Objective 1.2 · AI Workloads

25m

AI vs Machine Learning vs Deep Learning

Objective 1.1 · AI Workloads

25m

Narrow AI vs General AI

Objective 1.1 · AI Workloads

25m

AI Use Cases: Prediction, Classification, Generation

Objective 1.1 · AI Workloads

25m

AI Reliability, Safety, and Privacy

Objective 1.2 · AI Workloads

25m

AI Transparency and Explainability

Objective 1.2 · AI Workloads

25m

AI Accountability and Human Oversight

Objective 1.2 · AI Workloads

25m

Azure AI Services Overview

Objective 1.1 · AI Workloads

25m

Cognitive Services Pricing and Tiers

Objective 1.1 · AI Workloads

25m

AI Infrastructure Costs and GPU Compute

Objective 1.1 · AI Workloads

25m

AI-900 Exam Strategy and Scenario Questions

Objective 1.1 · AI Workloads

25m

ML Ethics, Fairness, and Inclusiveness

Objective 1.2 · AI Workloads

25m

Start: What is Artificial Intelligence?

Other AI-900 Domains

Fundamental Machine Learning Principles (20–25%)

28 chapters

Computer Vision in Azure (15–20%)

17 chapters

Natural Language Processing on Azure (15–20%)

21 chapters

Generative AI on Azure (15–20%)

20 chapters

Test your AI Workloads and Considerations (15–20%) knowledge

Free AI-900 practice questions with full explanations. Test what you learn chapter by chapter.

AI-900 Practice Questions