AI-901 Exam Overview: Azure AI Fundamentals

AI-901 covers Azure AI concepts and foundational skills. Microsoft groups the current study guide around identifying AI concepts and capabilities and implementing AI solutions by using Microsoft Foundry. At a fundamentals level, that means recognizing workloads, models, prompts, Responsible AI concerns, and common service choices.

Use Microsoft study-guide language rather than invented domain counts. The skills include Responsible AI principles, AI model components and configurations, AI workloads, generative AI apps and agents in Foundry, text and speech solutions, computer vision and image generation, and information extraction.

The exam is best approached as a broad fundamentals check. Candidates should understand concepts, Python syntax basics, Azure resources, and common interfaces such as REST APIs, SDKs, and CLIs. Keep preparation focused on recognition, terminology, and beginner-level Foundry tasks.

Microsoft Learn, the AI-901 study guide, and Azure AI documentation should anchor preparation. Use practice questions to test whether you can identify the correct workload or principle: Responsible AI, Azure AI Vision, Azure AI Language, Azure AI Speech, Azure AI Document Intelligence, Azure Machine Learning, Azure OpenAI, or RAG.

Responsible AI is central to AI-901. Know the meaning of fairness, reliability and safety, privacy and security, inclusiveness, transparency, and accountability. The exam expects candidates to recognize these concerns in scenarios, not to design a full enterprise governance program.