Our exam covers the following objectives:

• Describe Artificial Intelligence workloads and considerations (15–20%)
• Describe fundamental principles of machine learning on Azure (20–25%)
• Describe features of computer vision workloads on Azure (15–20%)
• Describe features of Natural Language Processing (NLP) workloads on Azure (15–20%)
• Describe features of generative AI workloads on Azure (15–20%)

Note: New questions are always added at the end of the exam.

This exam is an opportunity for you to demonstrate knowledge of machine learning and AI concepts and related Microsoft Azure services. As a candidate for this exam, you should have familiarity with Exam AI-900’s self-paced or instructor-led learning material.

This exam is intended for you if you have both technical and non-technical backgrounds. Data science and software engineering experience are not required. However, you would benefit from having awareness of:

• Basic cloud concepts

• Client-server applications

You can use Azure AI Fundamentals to prepare for other Azure role-based certifications like Azure Data Scientist Associate or Azure AI Engineer Associate, but it’s not a prerequisite for any of them.