Microsoft Azure AI Fundamentals (AI-900)
The Microsoft Azure AI Fundamentals (AI-900) exam helps you understand the basics of machine learning and AI, along with how to use Microsoft Azure services for them. This exam requires familiarity with the learning materials provided for Exam AI-900, whether you're studying at your own pace or with an instructor.
Who should take the exam?
This exam is designed for both technical and non-technical backgrounds. Data science and software engineering experience are not required.
Microsoft AI-900 Exam Topics
The Microsoft Azure AI Fundamentals (AI-900) covers the following topics -
- Domain 1: Learning Artificial Intelligence workloads and considerations (15–20%)
- Domain 2: Explaining fundamental principles of machine learning on Azure (20–25%)
- Domain 3: Describing features of computer vision workloads on Azure (15–20%)
- Domain 4: Describing features of Natural Language Processing (NLP) workloads on Azure (15–20%)
- Domain 5: Learning features of generative AI workloads on Azure (15–20%)
Microsoft Azure AI Fundamentals (AI-900) FAQs
What certification does the AI-900 exam lead to?
Passing the AI-900 exam earns you the Microsoft Certified: Azure AI Fundamentals certification, demonstrating your foundational AI and Azure knowledge.
Who should take the AI-900 exam?
This exam is ideal for anyone interested in AI and Azure, including business decision-makers, IT professionals, developers, and students. Prior experience in data science or software engineering isn't required.
What is the purpose of the AI-900 exam?
The AI-900 exam assesses your basic understanding of AI and machine learning concepts and how they relate to Microsoft Azure services. It's not a technical certification but validates your foundational knowledge.
What are the key topics covered in the exam?
The Microsoft Azure AI Fundamentals (AI-900) covers the following topics -
- Learning Artificial Intelligence workloads and considerations
- Explaining fundamental principles of machine learning on Azure
- Describing features of computer vision workloads on Azure
- Describing features of Natural Language Processing (NLP) workloads on Azure
- Learning features of generative AI workloads on Azure
What is the passing score for the AI-900 exam?
Microsoft exam passing score is estimated to be around 700 (out of 1000).
How can I prepare for the AI-900 exam?
Microsoft offers extensive resources like the official study guide, Microsoft Learn modules, practice tests, and instructor-led training. Explore other online tutorials and communities too.
Are there any prerequisites for taking the AI-900 exam?
There are no official prerequisites, but basic cloud and client-server application knowledge will be helpful.
What is the exam format?
The exam consists of 40-60 multiple-choice, drag-and-drop, and multi-response questions.
How much does the AI-900 exam cost?
The exam costs USD $99.
Where can I schedule the AI-900 exam?
You can schedule the exam through the official exam page.