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Exam Ref AI-900 Microsoft Azure AI Fundamentals

Julian Sharp Francesco Esposito Stefano Costanzo Joseph D'Antoni

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English
Addison Wesley
08 June 2025
Series: Exam Ref
Prepare for Microsoft Exam AI-900 and help demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) workloads, and how they can be implemented with Azure AI. Designed for business stakeholders, new and existing IT professionals, consultants, and students, this Exam Ref focuses on the critical thinking and decision-making acumen needed for success at the Microsoft Certified: Azure AI Fundamentals level.

Focus on the expertise measured by these objectives:

Describe AI workloads and considerations Describe fundamental principles of machine learning on Azure Describe features of computer vision workloads on Azure Describe features of Natural Language Processing (NLP) workloads on Azure Describe features of conversational AI workloads on Azure

This Microsoft Exam Ref:

Organises its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you are a business user, stakeholder, technical professional, or student who wants to become familiar with Azure AI Requires no data science or software engineering experience.

About the Exam

Exam AI-900 focuses on knowledge needed to identify features of common AI workloads and guiding principles for responsible AI; identify common ML types; describe core ML concepts; identify core tasks in creating an ML solution; describe capabilities of no-code ML with Azure Machine Learning Studio; identify common types of computer vision solutions; identify Azure tools and services for computer vision tasks; identify features of common NLP workload scenarios; identify Azure tools and services for NLP workloads; and identify common use cases and Azure services for conversational Al.

About Microsoft Certification Passing this exam fulfills your requirements for the Microsoft Certified: Azure AI Fundamentals certification, demonstrating your knowledge of common ML and AI workloads and how to implement them on Azure. With this certification, you can move on to earn more advanced role-based certifications, including Microsoft Certified: Azure AI Engineer Associate or Azure Data Scientist Associate.
By:   , , ,
Imprint:   Addison Wesley
Country of Publication:   United States
Edition:   2nd edition
ISBN:   9780135417133
ISBN 10:   0135417139
Series:   Exam Ref
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Forthcoming

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