
Ref AI-900 Microsoft Azure AI Fundamentals, 2nd Edition is an authoritative and authoritative source for learning about artificial intelligence concepts and Microsoft Azure cloud services. Published by Microsoft Press and written by Julian Sharp, Francesco Esposito, Stefano Costanzo, and Martina D’Antoni , this book is the primary preparation source for the Microsoft Certified: Azure AI Fundamentals (AI-900) exam . This book is designed for those who want to learn the fundamental concepts of artificial intelligence (AI) and AI services in Azure without the need for advanced programming knowledge . The main focus of the work is on understanding the fundamental concepts and their practical applications in the Azure platform.
Syllabus and educational content
The second edition of the book has been updated to align with the latest changes to Azure services and the new AI-900 exam objectives. The book’s content includes the following:
1. Introduction to Artificial Intelligence (AI Concepts)
In this chapter, the reader will be introduced to basic concepts such as machine learning, weak and strong artificial intelligence, and the difference between AI and ML. It will also explore everyday applications of AI in various industries.
2. Machine Learning Fundamentals in Azure Machine Learning
In this section, the concepts of Supervised and Unsupervised Learning , data modeling, model training, and algorithm performance evaluation using Azure Machine Learning Studio are taught.
3. Computer Vision
Chapter 3 is dedicated to Azure image services, such as:
- Azure Computer Vision
- Custom Vision
- Face API
- Form Recognizer
This chapter shows how these services can be used to recognize objects, analyze faces, and extract data from images.
4. Natural Language Processing
This section examines services such as:
- Language Understanding (LUIS)
- Text Analytics
- Translator Service
and explains how it performs sentiment analysis, entity recognition, and automatic translation.
5. Conversational AI
The last section of the book is dedicated to Azure Bot Service , which is used to build chatbots. This section is accompanied by practical examples and covers Chatbot implementation from design to deployment.
Key features of the book
- Simple and fluent language for beginners
- Focus on key concepts of the AI-900 exam
- Practical exercises and review questions at the end of each chapter
- Compatibility with the latest versions of Azure Cognitive Services
- Official source approved by Microsoft
Benefits of reading this book
- Complete preparation for the AI-900 exam
- Better understanding of basic AI concepts in the Azure environment
- Increasing job skills in the field of Cloud & AI
- Foundation for higher certifications such as Azure AI Engineer Associate (AI-102)
Conclusion
Exam Ref AI-900 Microsoft Azure AI Fundamentals, 2nd Edition is the best resource for learning about AI concepts in the Azure environment. By studying this book, the reader will not only prepare for the official AI-900 exam, but also gain a deep understanding of how to use AI services in the Microsoft cloud.
Download link for Exam Ref AI-900 Microsoft Azure AI Fundamentals, 2nd Edition
File Size: 11.8MB
- Copyright 2026
- Edition: 2nd
- Price: $54.99
- Pages: 224
- By: By Julian Sharp, Francesco Esposito, Stefano Costanzo, Martina D’Antoni
- Format: EPUB, PDF Convert
- ISBN-10: 0-13-541713-9
- ISBN-13: 978-0-13-541713-3
- Published: Microsoft Press. Part of the Exam Ref series.
Prepare for Microsoft Exam AI-900 and demonstrate your real-world knowledge of diverse machine learning (ML) and artificial intelligence (AI) concepts, and how they can be implemented with Microsoft Azure services. 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:
- Organizes 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.




