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A practical guide to generative AI using Amazon Bedrock = building, deploying, and securing generative AI applications /

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A practical guide to generative AI using Amazon Bedrock/ by Avik Bhattacharjee.
Reminder of title:	building, deploying, and securing generative AI applications /
Author:	Bhattacharjee, Avik.
Published:	Berkeley, CA :Apress : : 2025.,
Description:	xxiii, 476 p. :ill., digital ; : 24 cm.;
Contained By:	Springer Nature eBook
Subject:	Artificial Intelligence. -
Online resource:	https://doi.org/10.1007/979-8-8688-1414-3
ISBN:	9798868814143

A practical guide to generative AI using Amazon Bedrock = building, deploying, and securing generative AI applications /
Bhattacharjee, Avik.

A practical guide to generative AI using Amazon Bedrockbuilding, deploying, and securing generative AI applications /[electronic resource] :by Avik Bhattacharjee. - Berkeley, CA :Apress :2025. - xxiii, 476 p. :ill., digital ;24 cm.

Chapter 1: Introduction to Generative AI -- Chapter 2: Generative AI with AWS -- Chapter 3: Introduction to Amazon Bedrock -- Chapter 4: Overview of Prompt Engineering and In-Context Learning -- Chapter 5: Overview of Use Cases in this Book -- Chapter 6: Overview of Retrieval-Augmented Generation (RAG) -- Chapter 7: Overview of Amazon Bedrock Knowledge Base -- Chapter 8: Overview of Safeguard's Practice -- Chapter 9: Overview of Amazon Bedrock Agents -- Chapter 10: Overview of Model Customization -- Chapter 11: Overview of Model Evaluation -- Chapter 12: Overview of Best Model Selection and Best Practices -- Chapter 13: Overview of Security and Privacy of Amazon Bedrock -- Chapter 14: Overview of GenAIOps -- Chapter 15: Overview of Prompt Management -- Chapter 16: Overview of Prompt Flow. - Chapter 17: Overview of Provisional Throughput. - Chapter 18: Overview of Image Capabilities. - Chapter 19: Overview of Multimodal Capabilities. - Chapter 20: Conclusion.

This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications.

ISBN: 9798868814143

Standard No.: 10.1007/979-8-8688-1414-3doiSubjects--Corporate Names:

1142271
Amazon Web Services (Firm)
Subjects--Topical Terms:

646849
Artificial Intelligence.

LC Class. No.: Q335 / .B43 2025

Dewey Class. No.: 006.3

A practical guide to generative AI using Amazon Bedrock = building, deploying, and securing generative AI applications /
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505 0 $a Chapter 1: Introduction to Generative AI -- Chapter 2: Generative AI with AWS -- Chapter 3: Introduction to Amazon Bedrock -- Chapter 4: Overview of Prompt Engineering and In-Context Learning -- Chapter 5: Overview of Use Cases in this Book -- Chapter 6: Overview of Retrieval-Augmented Generation (RAG) -- Chapter 7: Overview of Amazon Bedrock Knowledge Base -- Chapter 8: Overview of Safeguard's Practice -- Chapter 9: Overview of Amazon Bedrock Agents -- Chapter 10: Overview of Model Customization -- Chapter 11: Overview of Model Evaluation -- Chapter 12: Overview of Best Model Selection and Best Practices -- Chapter 13: Overview of Security and Privacy of Amazon Bedrock -- Chapter 14: Overview of GenAIOps -- Chapter 15: Overview of Prompt Management -- Chapter 16: Overview of Prompt Flow. - Chapter 17: Overview of Provisional Throughput. - Chapter 18: Overview of Image Capabilities. - Chapter 19: Overview of Multimodal Capabilities. - Chapter 20: Conclusion.
520 $a This comprehensive guide gives you the knowledge and skills you need to excel in Generative AI. From understanding the fundamentals to mastering techniques, this book offers a step-by-step approach to leverage Amazon Bedrock to build, deploy, and secure Generative AI applications. The book presents structured chapters and practical examples to delve into key concepts such as prompt engineering, retrieval-augmented generation, and model evaluation. You will gain profound insights into the Amazon Bedrock platform. The book covers setup, life cycle management, and integration with Amazon SageMaker. The book emphasizes real-world applications, and provides use cases and best practices across industries on topics such as text summarization, image generation, and conversational AI bots. The book tackles vital topics including data privacy, security, responsible AI practices, and guidance on navigating governance and monitoring challenges while ensuring adherence to ethical standards and regulations. The book provides the tools and knowledge needed to excel in the rapidly evolving field of Generative AI. Whether you're a data scientist, AI engineer, or business professional, this book will empower you to harness the full potential of Generative AI and drive innovation in your organization. What You Will Learn Understand the fundamentals of Generative AI and Amazon Bedrock Build Responsible Generative AI applications leveraging Amazon Bedrock Know techniques and best practices See real-world applications Integrate and manage platforms Handle securty and governance issues Evaluate and optimze models Gain future-ready insights Understand the project life cycle when building Generative AI Applications.
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