Ultimate Microsoft Certified Azure AI Engineer Associate (AI 102) Certification Guide: Crack 102 by Building Generative AI, ... Solutions (English Edition)

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Bol 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.

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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.


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