Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS

Author:   Renaldi Gondosubroto
Publisher:   John Wiley & Sons Inc
ISBN:  

9781394382620


Pages:   480
Publication Date:   27 October 2025
Format:   Paperback
Availability:   Available To Order   Availability explained
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Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS


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Full Product Details

Author:   Renaldi Gondosubroto
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
Dimensions:   Width: 18.50cm , Height: 3.30cm , Length: 22.90cm
Weight:   0.816kg
ISBN:  

9781394382620


ISBN 10:   1394382626
Pages:   480
Publication Date:   27 October 2025
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

Table of Contents

Introduction xxi Part I Introduction to Your New Generative AI Playground 1 Chapter 1 Introduction to Generative AI on AWS 3 Chapter 2 Prompt Engineering with Foundational Models on AWS 43 Part II Core Generative AI on AWS 87 Chapter 3 Building Applications with the Amazon Bedrock API 89 Chapter 4 Working with Multimodal Foundational Models 133 Chapter 5 Fine-Tuning Foundational Models on AWS 183 Chapter 6 Performing Retrieval-Augmented Generation on AWS 225 Chapter 7 Optimizing Performance for Foundational Models 265 Part III Advancing the Building Blocks of Generative AI 309 Chapter 8 Security and Privacy for Deploying Generative AI Architectures on AWS 311 Chapter 9 Building End-to-End Applications with Generative AI 363 Chapter 10 Sustainability and Scalability with Amazon Bedrock 405 Appendix A Configuring Your AWS Account 433 Appendix B Installing Python, Jupyter Notebook, and LangChain 439 Index 443

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Author Information

RENALDI GONDOSUBROTO is an AWS Community Builder, an accomplished software engineer with over a decade of architecting solutions on AWS, and a developer advocate in the tech community. He currently holds all 14 AWS certifications. He has extensive experience developing AI solutions for small and large enterprises.

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