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A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In
MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The
Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about:
- Artificial intelligence concepts and workloads
- Responsible AI use in Azure
- Core concepts in AI models and solutions
- Introduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and more
- The application of machine learning concepts on the Azure cloud platform
- Computer vision in Azure
- Natural language processing concepts
- Generative AI concepts
- The Azure OpenAI Service
- Example AI use cases and industry-specific applications
The
MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt.
Inside the book: - Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improve
- Carefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basis
- Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms
Perfect for everyone preparing for the AI-900 certification exam, the
Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals-especially those working in AI-impacted industries like sales and marketing-who wish to expand their AI skillset and improve their effectiveness at work.
List of contents
Acknowledgments vi
About the Author vii
About the Technical Editor viii
Introduction xxi
Assessment Test xxxi
Answers to Assessment Test xxxvii
Chapter 1 Overview of AI Concepts and Workloads 1
Chapter 2 Responsible AI in Azure 21
Chapter 3 Core Concepts of AI Models and Solutions 47
Chapter 4 Introduction to Machine Learning Concepts 67
Chapter 5 Machine Learning in Azure 85
Chapter 6 Introduction to Computer Vision 113
Chapter 7 Azure Tools for Computer Vision 131
Chapter 8 Introduction to Natural Language Processing (NLP) 149
Chapter 9 Azure Tools for NLP Workloads 173
Chapter 10 Introduction to Generative AI 193
Chapter 11 Azure OpenAI Service 213
Chapter 12 AI Agents in Azure 233
Chapter 13 AI Use Cases and Industry Applications 261
Conclusion 283
Appendix Answers to the Review Questions 285
Index 313
About the author
ABOUT THE AUTHOR ADORA NWODO is a software engineer, author, and speaker with extensive experience in building and managing large-scale distributed systems. She's an expert in cloud computing, distributed systems, and DevOps tooling.
