Microsoft Azure AI Fundamentals
The AI-900 validates foundational knowledge of machine learning and AI concepts and the related Microsoft Azure services. It covers responsible-AI considerations, core ML concepts and Azure Machine Learning, computer vision and natural language processing capabilities, and generative AI with Azure OpenAI — no data-science background required.
Ready to sit the mock exam?
The timer starts as soon as you begin. You can flag questions, move freely between them, and review everything before submitting. No sign-in required — sign in afterwards to save the result to your history.
Start AI-900 examSkills measured
Describe AI workloads and considerations
20%Common AI workloads and responsible-AI principles: fairness, reliability, privacy, inclusiveness, transparency and accountability.
Describe fundamental principles of machine learning on Azure
25%Regression, classification and clustering, training and validation, and Azure Machine Learning capabilities and AutoML.
Describe features of computer vision workloads on Azure
20%Image classification, object detection, OCR, and the Azure AI Vision and Face services.
Describe features of Natural Language Processing workloads on Azure
20%Key phrase extraction, sentiment, entity recognition, translation, and speech with Azure AI Language and Speech.
Describe features of generative AI workloads on Azure
15%Large language models, prompts and completions, copilots, and Azure OpenAI responsible use.