Empower your AI Cloud Career with Microsoft Azure AI-900 Certification
Key Features
? Complete coverage of Azure AI (AI-900) objectives with real-world Azure examples.
? Hands-on learning using Azure AI Services, Azure Cognitive, ML, and Responsible AI tools.
? Practical exam strategies, practice tests, and expert-driven insights.
Book Description
The Microsoft Azure AI Fundamentals (AI-900) certification is one of the most in-demand credentials and your gateway to understanding AI and how it drives innovation in the cloud. The Microsoft Azure AI Fundamentals (AI-900) Certification Guide takes you on a step-by-step journey from foundational AI principles to hands-on implementation using Microsoft Azure.
You will start by exploring the building blocks of AI — understanding workloads, data science fundamentals, and the difference between AI, ML, and deep learning. From there, the book dives into Azure Cognitive Services, guiding you through Vision, Language, Speech, and Decision-making capabilities with practical examples and use cases. You will also learn how to build intelligent applications that see, hear, and understand the world around them.
As your knowledge deepens, you can work with Azure Machine Learning to train, evaluate, and deploy predictive models, explore Generative AI with Azure OpenAI Service, and implement responsible AI principles to ensure that your solutions are fair, transparent, and ethical. Each chapter is structured to reinforce understanding through real-world scenarios, guided exercises, and exam-focused insights that prepare you for success.
What you will learn
? Understand core AI workloads and essential features of intelligent systems.
? Explore Azure Cognitive Services for vision, language, and speech capabilities.
? Build, train, and deploy machine learning models using Azure Machine Learning.
? Apply Responsible AI principles to design safe, fair, and ethical solutions.
? Prepare effectively for the AI-900 exam with practical, real-world examples.
? Learn how AI solutions connect and integrate across Azure cloud services.
Table of Contents
1. Introduction to Exam AI-900
2. Identify Features of Common AI Workloads
3. Identify Guiding Principles for Responsible AI
4. Identify Common Machine Learning Techniques
5. Describe Core Machine Learning Concepts
6. Describe Azure Machine Learning Capabilities
7. Identify Common Types of Computer Vision Solution
8. Identify Azure Tools and Services for Computer Vision Tasks
9. Identifying Common NLP Workloads
10. Identify Azure Tools and Services for NLP Workloads
11. Identify Features of Generative AI Solutions
12. Identifying the Capabilities of Azure OpenAI Service
13. Practice Test and Sample Questions
14. Best Practices, Future Trends, and Tips and Tricks
Index
About the Author
Higor Luis Barbosa is a Cloud Platform Engineer, Enterprise Architect, and Instructor with 20+ years of expertise and experience in IT. Specializing in Azure, AWS, and AI, he designs scalable cloud solutions and teaches over 50,000 students worldwide. Author of Microsoft Azure AI Fundamentals (AI-900) Certification Guide, he makes complex technologies accessible and impactful.
