Ultimate Microsoft Certified Azure AI Engineer Associate (AI-102) Certification Guide

Ultimate Microsoft Certified Azure AI Engineer Associate (AI-102) Certification Guide

Key Features
● Get a free one-month digital subscription to www.avaskillshelf.com
● Complete, end-to-end coverage of all AI-102 exam domains and skills.
● Hands-on guidance for generative AI, intelligent agents, and RAG on Azure.
● Proven exam strategies, architecture patterns, and real-world best practices.

Book Description
Ultimate Microsoft Certified Azure AI Engineer Associate (AI-102) Certification Guide is a comprehensive and practical resource for professionals preparing for the AI-102 certification and building real-world expertise with Microsoft Azure AI services. It combines certification-focused guidance with hands-on engineering practices to help readers master both the exam, and the job role of an Azure AI Engineer.

The book covers all major AI-102 domains, including planning and managing Azure AI solutions, implementing generative AI, intelligent agents, computer vision, natural language processing, speech, and knowledge mining. Each chapter aligns with the latest AI-102 skills outline and reflects modern Azure AI capabilities such as Azure AI Foundry, Azure OpenAI, agent frameworks, and Retrieval-Augmented Generation (RAG), ensuring that readers learn skills that are current and industry-relevant.

Beyond exam preparation, this guide emphasizes practical implementation and enterprise-ready architectures. Readers will learn how to design, deploy, secure, monitor, and govern AI solutions on Azure using best practices and Responsible AI principles.

What you will learn
● Understand the full AI-102 exam structure, objectives, and expectations.
● Plan, design, and manage scalable Azure AI solutions with confidence.
● Implement generative AI, RAG pipelines, and Azure OpenAI workloads.
● Build intelligent agent-based systems using the modern Azure AI framework.
● Develop computer vision, NLP, speech, and knowledge mining solutions.
● Apply security, governance, and Responsible AI principles for production.

Who is This Book For?
This book is for software developers, Azure developers, AI engineers, data engineers, solution architects, and IT professionals preparing for the Microsoft AI-102 certification or working with Azure AI solutions. Readers should have basic programming skills (C# or Python), familiarity with Azure fundamentals, and an understanding of core cloud concepts; prior AI experience is helpful but not mandatory.

1. Introduction to the AI-102 Certification and Azure AI
2. Planning and Managing Azure AI Solutions
3. Implementing Generative AI Solutions.
4. Implementing Agent-Based Solutions
5. Implementing Computer Vision Solutions
6. Implementing Natural Language Processing (NLP) Solutions.
7. Implementing Knowledge Mining and Information Extraction Solutions
8. Exam Preparation Strategies
9. Practice Test and Sample Questions.
Index

Pablo Piovano is the Director of Artificial Intelligence (AI) at OZ Digital Solutions and a Microsoft MVP in Artificial Intelligence. With over 15 years of experience and expertise, he builds enterprise-grade AI solutions on Azure, and actively shares knowledge through global conferences, community events, and professional certification guidance.

About the Technical Reviewer
Uma Sesha Sai Chinta is a Generative AI Engineer with strong expertise in building enterprise-grade AI solutions using Microsoft Azure. With nearly four years of experience across AI engineering, automation, and cloud operations, Uma brings a practical and deeply technical perspective to modern AI development. Starting his career in Azure DevOps, he transitioned into the evolving landscape of AI, and presently, he specializes in prompt engineering, agent-based architectures, and Retrieval-Augmented Generation (RAG) pipelines.

In his current role at Accenture, Uma focuses on designing AI agents, crafting effective prompts, evaluating model behavior, and orchestrating multi-step intelligent workflows. His hands-on experience spans Azure OpenAI, Cognitive Search, vector databases, evaluation frameworks, and AI-driven automation on enterprise platforms. This blend of cloud foundations and applied AI engineering enables him to bridge reliability, scalability, and real-world problem-solving. Driven by curiosity and a passion for innovation, Uma continues to explore how generative AI, intelligent agents, and automation can transform business operations and accelerate digital transformation across industries in today’s hi- tech world!