Your comprehensive guide to the AI-901 certification, replacing the popular AI-900 exam. Covers core AI concepts, Azure AI services, generative AI, and Azure OpenAI Service for candidates at all experience levels.
Career changers, students, non-technical professionals, and anyone starting their AI certification journey.
40-60 multiple-choice questions in 45 minutes; passing score is 700/1000. No prerequisites required.
AI and ML fundamentals, Azure AI services (Vision, Language, Speech, Document Intelligence), generative AI, and Azure OpenAI Service.
AI-900 retires on 30 June 2026. AI-901 adds generative AI, Azure OpenAI Service, and updated Azure AI services content.
If you are currently studying for AI-900, here is what you need to know:
The Microsoft AI-901 exam, officially titled Azure AI Fundamentals (Refreshed), is the modern entry point for anyone looking to validate their knowledge of artificial intelligence on the Microsoft cloud. It replaces the retiring AI-900 exam to better reflect the rapid advancements in generative AI and Azure's expanding AI service portfolio.
This certification validates your foundational knowledge of machine learning (ML) and artificial intelligence (AI) concepts and related Microsoft Azure services. It is designed for both technical and non-technical candidates. While it is not a prerequisite for higher-level certifications like Azure AI Engineer Associate or Azure Data Scientist Associate, it provides a strong foundation for those pursuing them.
Individuals looking to pivot into the AI field and need a recognised credential to demonstrate foundational knowledge.
Managers, sales professionals, and marketers who need to understand AI capabilities to drive business value.
Academic learners wanting to supplement their degree with industry-standard certifications in modern AI.
Anyone curious about how generative AI and Azure OpenAI Service work behind the scenes in an enterprise context.
The AI-901 exam covers three main domains. Understanding the weight of each domain helps you prioritise your study time effectively.
Image analysis, object detection, OCR, spatial analysis, and custom classification.
Text analytics, sentiment analysis, entity recognition, and question answering.
GPT models, DALL-E, embeddings, and responsible AI content filtering.
Knowledge mining, AI enrichment pipelines, and vector search capabilities.
This three-week plan covers all exam objectives. Adjust the pace based on your existing knowledge of AI and cloud concepts.
AI and Machine Learning Fundamentals
AI workloads, responsible AI principles, and ethical considerations.
Machine learning concepts, supervised vs unsupervised, model training.
Classification, regression, clustering, and deep learning fundamentals.
Implementing AI with Azure technologies
Azure AI services overview, provisioning, and Computer Vision capabilities.
NLP, Azure AI Language, Speech, and Document Intelligence features.
Azure AI Search, knowledge mining, and practice questions for Section 2.
Mastering modern AI and Azure OpenAI
Generative AI concepts, LLMs, transformers, and Azure OpenAI Service.
Prompt engineering, RAG patterns, and Microsoft Copilot architecture.
Full practice exams, final review of weak areas, and exam preparation.