Azure AI Fundamentals (AI-900) Study Guide

Businesses that want to stay competitive know that AI has become a crucial technology—and so do their employees looking to grow their careers. Earning Microsoft’s AI-900: Azure AI Fundamentals certification proves your proficiency with foundational AI concepts. This study guide equips you with the knowledge needed to pass the AI-900 exam, whether you’re an IT professional, a data analyst, or a student looking to break into the AI field.

Packed with clear explanations, real-world examples, exam tips, and practice questions, this comprehensive handbook is your go-to resource for mastering the Azure AI platform and advancing your career. You’ll explore key exam topics, including machine learning, computer vision, and generative AI, while gaining practical insights into leveraging Azure’s powerful AI tools.

Table of Contents

Chapter 1. Introduction to the Al-900 Exam

Chapter 2. Azure Al Services

Chapter 3. Overview of Al Workloads and Key Use Cases

Chapter 4. Fundamental Principles of Machine Learning

Chapter 5. Azure Machine Learning

Chapter 6. Features of Computer Vision Workloads on Azure

Chapter 7. Features of Natural Language Processing Workloads on Azure

Chapter 8. Features of Generative Al Workloads on Azure

Chapter 9. Strategies and Techniques for Successfully Taking the Al-900 Exam

Appendix A. Practice Exam

Appendix B. Answer Keys

About the Author

Tom Taulli (@ttaulli) is a consultant to various companies, such as Aisera, SnapLogic and Tad Health. He has written several books like AI-Assisted Programming: Better Planning, Coding, Testing, and Deployment. Tom has also taught IT courses for UCLA, PluralSight and O’Reilly Media. For these, he has provided lessons in using Python to create deep learning and machine learning models. He has also taught on topics like NLP (Natural Language Processing).