Microsoft Certified: Azure AI Fundamentals (AI-900 / AI-901) Exam Blueprint

Quick Facts

Cost

Varies by country/region (US list typically ~$99)

Duration

Not disclosed by Microsoft on the exam page

Questions

Not disclosed by Microsoft

Passing score

700 / 1000 (scaled)

Languages

13 - English, Japanese, Chinese, Korean, German, French, Spanish, Portuguese (BR), Russian, Indonesian, Arabic (SA), Traditional Chinese, Italian

Delivery

Pearson VUE online proctored OR test center

Validity

DOES NOT EXPIRE - Fundamentals certs are exempt from renewal

Retake wait

24 hr first retake, 14 days subsequent, max 5/year

Skills You'll Learn

Describe common AI workloads - computer vision, NLP, document processing, generative AI. Apply Microsoft's Responsible AI principles: fairness, reliability, privacy, inclusiveness, transparency, accountability. Explain core machine learning concepts - features, labels, training/validation, regression, classification, clustering. Describe Azure Machine Learning capabilities including AutoML, data services, model management. Identify Azure AI Vision and AI Face services for image classification, object detection, OCR. Identify Azure AI Language and AI Speech services for text analytics, translation, speech recognition. Describe generative AI on Azure using Azure OpenAI, Azure AI Foundry, model catalog. Understand Responsible AI considerations specific to generative AI workloads. Build foundational AI vocabulary that supports onward learning toward role-based AI certifications. Earn Microsoft's foundational AI credential that does not expire.

Exam Logistics

Fundamentals exams typically use multiple choice, multiple response, drag-and-drop, hot area - no case studies or labs.
Free Practice Assessment available on Microsoft Learn.
Exam sandbox lets you preview the exam UI.
If preferred language unavailable, request an additional 30 minutes.

Prerequisites & Recommended Experience

AI-900: no prerequisites. No technical background required.
AI-901 (replacement): expects familiarity with Python coding syntax and Azure resources.
Both may be eligible for ACE college credit.

AI-900 Skills Measured with Weights (as of May 2, 2025)

Describe Artificial Intelligence workloads and considerations 15-20%

Common AI workloads (computer vision, NLP, document processing, generative AI).
Responsible AI principles (fairness, reliability, privacy, inclusiveness, transparency, accountability).

Describe fundamental principles of machine learning on Azure 15-20%

Common ML techniques (regression, classification, clustering, deep learning, Transformer).
Core ML concepts (features/labels, training/validation).
Azure ML capabilities (AutoML, data and compute, model management and deployment).

Describe features of computer vision workloads on Azure 15-20%

Classification, object detection, OCR, facial detection.
Azure tools - AI Vision service, AI Face service.

Describe features of Natural Language Processing workloads on Azure 15-20%

Key phrase extraction, entities, sentiment, language modeling, speech, translation.
Azure tools - AI Language, AI Speech.

Describe features of generative AI workloads on Azure 20-25%

Generative AI features (models, scenarios, responsible considerations).
Azure AI Foundry, Azure OpenAI Service, Foundry model catalog.

Official Prep Resources

Official AI-900 exam page AI-900 Study Guide AI-900 Practice Assessment AI-900T00 instructor-led course AI-901 exam page (replacement)

Test what you've learned

Take a free GoLearnQuiz practice test. Sign in to save your score.

Beginner Warm-up and concepts Start Intermediate Real exam style Start Advanced Tough scenarios Start

Additional Helpful Details

AI-901 reorganizes content: AI concepts/responsibilities 40-45% and Microsoft Foundry implementation 55-60%. Expects Python literacy.
Practice assessment for AI-901 not yet available.
Microsoft does NOT publish duration or question count on the AI-900 page.

Microsoft Certified: Azure AI Fundamentals (AI-900 / AI-901)