Apr 25, 2024 · Demonstrate fundamental AI concepts related to the development of software and services of Microsoft Azure to create AI solutions.

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 course introduces fundamentals concepts related to artificial intelligence (AI), and the services in Microsoft Azure that can be used to create AI solutions.

Feb 9, 2023 · The "AI-900: Microsoft Azure AI Fundamentals" exam provides candidates with an excellent opportunity to demonstrate their understanding of AI and ML concepts, as well as their familiarity with associated Microsoft Azure services.

All the information you need to know about Microsoft Azure AI Fundamentals as well as free practice exam verified by experts. Pass your exam with ExamTopics.

In this course, you will prepare to take the AI-900 Microsoft Azure AI Fundamentals certification exam. You will refresh your knowledge of fundamental principles of machine learning on Microsoft Azure.

Jun 26, 2020 · I’m excited to announce the release of Exam AI-900: Microsoft Azure AI Fundamentals (beta). This exam is required for the Microsoft Certified: Azure AI Fundamentals certification.

Jan 24, 2025 · The Microsoft Certified: Azure AI Fundamentals certification and associated exam (AI-900) is designed to do just that. In this article, I'll cover frequently asked questions about the AI-900, so you can decide whether or not it's a fit for you, and be prepared for what to expect.

Apr 24, 2024 · When you're ready, you can register to take the proctored exam. If you need information about how to keep your certifications active, you'll find it in the last collection. By combining these resources, you'll have a robust toolbox to prepare for—and feel confident about—the exams that you'll take.

Get certified in Azure AI Fundamentals with AI-900. Learn Azure Machine Learning capabilities, machine learning techniques, NLP workloads, and conversational AI.