Wow! eBook
Azure AI-102 Certification Essentials: Master the AI Engineer Associate exam with real-world case studies and full-length mock tests
Author(s): Peter T. Lee (Author)
- Publisher: Packt Publishing
- Publication Date: August 14, 2025
- Language: English
- Print length: 388 pages
- ISBN-10: 1836205279
- ISBN-13: 9781836205272
Book Description
Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples.
Key Features
- Solidify your understanding with targeted questions at the end of each chapter
- Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations
- Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub
- Purchase of the print or Kindle book includes a free PDF eBook
Book Description
Written by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge.
The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11’s comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness.
By the end of this book, you’ll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.
What you will learn
- Learn core concepts relating to AI, LLMs, NLP, and generative AI
- Build and deploy with Azure AI Foundry, CI/CD, and containers
- Manage and secure Azure AI services with built-in tools
- Apply responsible AI using Azure AI Content Safety
- Perform OCR and analysis with Azure AI Vision
- Build apps with the Azure AI Language and Speech services
- Explore knowledge mining with Azure AI Search and Content Understanding
- Implement RAG and fine-tuning with Azure OpenAI
- Build agents using Azure AI Foundry Agent Service and Semantic Kernel
Who this book is for
If you’re preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.
Table of Contents
- Understanding AI, ML, and Azure’s AI Services
- Getting Started with Azure AI: Studio, Pipelines, and Containerization
- Managing, Monitoring, and Securing Azure AI Services
- Implementing Content Moderation Solutions
- Exploring Azure AI Vision Solutions
- Implementing Natural Language Processing Solutions
- Implementing Knowledge Mining, Document Intelligence, and Content Understanding
- Working on Generative AI Solutions
- Implementing Agentic Solutions with Azure AI Agent Service
- Practical AI Implementation: Industry Use Cases, Technical Patterns, and Hands-On Projects
- Preparing for the AI-102: Azure AI Engineer Associate Certification Exam
Editorial Reviews
Review
“This book is a fantastic resource for mastering AI fundamentals while exploring Azure’s powerful AI services. It clearly demonstrates real-world Azure solutions through hands-on examples and mock exams that are directly aligned with the official AI‑102 certification. Focusing on practical, real-world scenarios tailored to exam objectives, it’s a career-boosting guide that unlocks new opportunities in AI engineering.”
Dmitry Anoshin, Author of Jumpstart Snowflake, Azure Data Factory Cookbook Book and Data Engineering with Azure Databricks
“As a fractional CISO and cybersecurity advisor, I’m often skeptical of AI training that overlooks governance, risk, or responsible deployment. This book doesn’t. It weaves secure practices, like authentication, cost control, and content safety into real Azure AI use cases. A practical asset for anyone deploying AI with accountability in mind.”
Jetro WILS, Fractional CISO and Cybersecurity Advisor, BlueDragon Security
“This book is an excellent companion for anyone preparing for the AI-102 exam. I especially appreciated the hands-on examples and practical exercises that go beyond theory, offering real-world relevance and clarity. Unlike many resources that simply mirror Microsoft Learn, this book delivers original content and thoughtful structure that reflects deep expertise and long-term experience with Azure AI.”
Ludwig Reinhard, PhD, Solution Engineer at Microsoft, Microsoft Technical Specialist, Microsoft BizApps Deutschland Podcast host
“Azure AI-102 Certification Essentials is an expertly thought out guide that bridges theory with practical application. The real-world cases and mock tests make it a must-read resource for anyone preparing for the AI-102 exam. Perfectly suited for professionals aiming to deepen their Azure AI expertise with confidence and clarity.”
Breght Van Baelen, Technical Specialist for Data and AI at Microsoft, Author of Azure Data and AI Architect Handbook
“Within the world of Microsoft Azure AI services, one of the biggest challenges is gaining hands-on experience, not just with Generative AI but also with general AI. Peter’s Azure AI-102 Essentials explains where and how to leverage the different Azure AI services for both general and Generative AI, all while offering hands-on ways to practice deploying, testing, and using them. IT covers AI Search, Vision, Document Intelligence, Language, Speech, Azure OpenAI, and Foundry so that you can take the AI-102 certification exam confidently.”
Derek Smith, Chief Architect of Cloud and Infrastructure, Apex Systems
“Azure AI-102 Certification Essentials is a concise and practical guide that demystifies the exam process with clear explanations and real-world examples. A great resource for anyone preparing to become an Azure AI Engineer.”
Dmitry Foshin, Lead Data Engineer at Mars, Author of Azure Data Factory Cookbook
About the Author
Peter T. Lee is a Senior Solution Architect at Microsoft, specializing in AI and data with over 25 years of IT experience spanning industries such as telecom, fintech, payments, retail, and pharmacy. Recently, his focus has been on delivering Generative AI projects, developing data extraction solutions for unstructured data, and spearheading AI initiatives in the financial, banking, insurance, and capital markets sectors. With deep expertise in cloud platforms such as Azure, AWS, and GCP, Peter excels in designing scalable and resilient architectures while enabling organizations to adopt cutting-edge AI/ML and Generative AI technologies. Holding over 18 industry certifications, he embodies a strong commitment to continuous learning and innovation.
