Curriculum

9 Chapters · 10 Lessons

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  2. 2

    Chapter 1: Introduction to the AI-102 Certification and Azure AI

    1. (Included in full purchase)

      Introduction to the AI-102 Certification and Azure AI

    2. (Included in full purchase)

      Planning and Managing Azure AI Solutions

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    Chapter 3: Implementing Generative AI Solutions

    1. (Included in full purchase)

      Implementing Generative AI Solutions.

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    Chapter 4: Implementing Agent-Based Solutions

    1. (Included in full purchase)

      Implementing Agent-Based Solutions

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    Chapter 5: Implementing Computer Vision Solutions

    1. (Included in full purchase)

      Implementing Computer Vision Solutions

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    Chapter 6: Implementing Natural Language Processing (NLP) Solutions

    1. (Included in full purchase)

      Implementing Natural Language Processing (NLP) Solutions

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    Chapter 7: Implementing Knowledge Mining and Information Extraction Solutions

    1. (Included in full purchase)

      Implementing Knowledge Mining and Information Extraction Solutions

  8. 8

    Chapter 8: Exam Preparation Strategies

    1. (Included in full purchase)

      Exam Preparation Strategies

  9. 9

    Chapter 9: Practice Test and Sample Questions

    1. (Included in full purchase)

      Practice Test and Sample Questions

About the Course

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.

About the Author

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.