A Practical Guide to Generative AI Using Amazon Bedrock

Building, Deploying, and Securing Generative AI Applications

Avik Bhattacharjee

• Publisher: Apress
• Year: 2025
• Print ISBN: 9798868814167
• eBook ISBN: 9798868814143
• Topic: Computer Science
• Subtopic: Artificial Intelligence (AI) & Semantics
• Index: Computer Science

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

Who This Book Is For

Data scientistys, AI/ML engineers and architects, software developers plus AI enthusiasts and studenta and educators, and leaders who want to evangelize within organizatios

Table of contents

• A Practical Guide to Generative AI Using Amazon Bedrock
• Acknowledgments
• Table of Contents
• About the Author
• About the Technical Reviewer
• 1. Introduction to Generative AI
• 2. Generative AI with AWS
• 3. Introduction to Amazon Bedrock
• 4. Overview of Prompt Engineering and In-Context Learning
• 5. Overview of Use Cases in This Book
• 6. Overview of Retrieval-Augmented Generation (RAG)
• 7. Overview of Amazon Bedrock Knowledge Bases
• 8. Overview of Safeguard’s Practice
• 9. Overview of Amazon Bedrock Agents
• 10. Overview of Model Customization
• 11. Overview of Model Evaluation
• 12. Overview of Best Model Selection and Best Practices
• 13. Overview of Security and Privacy of Amazon Bedrock
• 14. Overview of GenAIOPS
• 15. Overview of Prompt Management
• 16. Overview of Prompt Flow
• 17. Overview of Provisioned Throughput
• 18. Overview of Image Capabilities
• 19. Overview of Multimodal Capabilities
• 20. Conclusion
• Index