A Practical Guide to Generative AI Using Amazon Bedrock : Building, Deploying, and Securing Generative AI Applications / by Avik Bhattacharjee.

Format:

Book

Author/Creator:

Bhattacharjee, Avik.

Series:

Professional and Applied Computing Series

Language:

English

Subjects (All):

Amazon Web Services.

Artificial intelligence.

Web applications--Development.

Web applications.

Physical Description:

1 online resource (342 pages)

Edition:

1st ed. 2025.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2025.

Summary:

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 .

Contents:

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.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

979-88-6881-414-3

OCLC:

1527663272