Introduction

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 security and governance issues

Evaluate and optimize models

Gain future-ready insights

Understand the project life cycle when building Generative AI Applications

Who This Book Is For

Data scientists, AI/ML engineers and architects, software developers plus AI enthusiasts and students and educators, and leaders who want to evangelize within organizations