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  • Book Overview & Buying Azure AI-102 Certification Essentials
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Azure AI-102 Certification Essentials

Azure AI-102 Certification Essentials

By : Peter T. Lee
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Azure AI-102 Certification Essentials

Azure AI-102 Certification Essentials

By: Peter T. Lee

Overview of this book

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.
Table of Contents (17 chapters)
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1
Part 1: Foundations and Essentials of Azure AI
5
Part 2: Practical Applications of Azure AI
11
Part 3: Agentic AI Solutions, Applying Real-World Use Cases, and Preparing for the AI-102 Certification

Implementing Agentic Solutions with Azure AI Agent Service

In this chapter, we’ll explore how to design, configure, and implement intelligent agentic solutions using Azure AI Agent Service and supporting frameworks such as Semantic Kernel and AutoGen. We’ll guide you through the foundational concepts, walk through deployment strategies, and introduce advanced multi-agent orchestration workflows. The content is designed to help you build a solid foundation in agentic architecture across different frameworks—preparing you both to pass the AI-102: Azure AI Engineer Associate Certification exam and to confidently apply these concepts in real-world solutions.

By the end of this chapter, you will be able to do the following:

  • Understand the role and use cases of AI agents
  • Configure Azure resources to support agent development
  • Build an agent using Azure AI Agent Service
  • Implement advanced agents with Semantic Kernel and AutoGen
  • Orchestrate complex...
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