This exam measures that you can describe the following: AI workloads and considerations; fundamental principles of machine learning on Azure; features of computer vision workloads on Azure; and features of Natural Language Processing (NLP) workloads on Azure.
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: Cloud basics and 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.
| Describe Artificial Intelligence workloads and considerations | 25% |
| Describe fundamental principles of machine learning on Azure | 30% |
| Describe features of computer vision workloads on Azure | 20% |
| Describe features of Natural Language Processing (NLP) workloads on Azure | 30% |