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Key benefits

Learn the foundations of Amazon Bedrock from experienced AWS Machine Learning Specialist Architects

Master the core techniques to develop and deploy several AI applications at scale

Go beyond writing good prompting techniques and secure scalable frameworks by using advanced tips and tricks

Purchase of the print or Kindle book includes a free PDF eBook

Description

The concept of generative artificial intelligence has garnered widespread interest, with industries looking to leverage it to innovate and solve business problems. Amazon Bedrock, along with LangChain, simplifies the building and scaling of generative AI applications without needing to manage the infrastructure. Generative AI with Amazon Bedrock takes a practical approach to enabling you to accelerate the development and integration of several generative AI use cases in a seamless manner. You’ll explore techniques such as prompt engineering, retrieval augmentation, fine-tuning generative models, and orchestrating tasks using agents. The chapters take you through real-world scenarios and use cases such as text generation and summarization, image and code generation, and the creation of virtual assistants. The latter part of the book shows you how to effectively monitor and ensure security and privacy in Amazon Bedrock. By the end of this book, you’ll have gained a solid understanding of building and scaling generative AI apps using Amazon Bedrock, along with various architecture patterns and security best practices that will help you solve business problems and drive innovation in your organization.

Who is this book for?

This book is for generalist application engineers, solution engineers and architects, technical managers, ML advocates, data engineers, and data scientists looking to either innovate within their organization or solve business use cases using generative AI. A basic understanding of AWS APIs and core AWS services for machine learning is expected.

What you will learn

Explore the generative AI landscape and foundation models in Amazon Bedrock

Fine-tune generative models to improve their performance

Explore several architecture patterns for different business use cases

Gain insights into ethical AI practices, model governance, and risk mitigation strategies

Enhance your skills in employing agents to develop intelligence and orchestrate tasks

Monitor and understand metrics and Amazon Bedrock model response

Explore various industrial use cases and architectures to solve real-world business problems using RAG

Stay on top of architectural best practices and industry standards

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Download this book in EPUB and PDF formats

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Amazon verified reviews

R. Bond Aug 04, 2024

This well-written book caters to technically inclined readers. It covers Generative AI fundamentals and deep dives into Amazon Bedrock, offering practical insights through real-world use cases and code examples. AI technologists will find it a valuable reference.

Amazon Verified review

Devmallya Karar Aug 25, 2024

"Generative AI with Amazon Bedrock" is an outstanding resource for anyone looking to dive into the world of generative AI using Amazon's powerful Bedrock service. The book is well-structured, making complex topics accessible even for those who are new to the field. It covers everything from building and scaling AI applications to securing them effectively, offering practical examples and clear explanations. The authors do a great job of balancing theory with hands-on exercises, which makes the content both engaging and useful. If you're looking to enhance your AI skills or explore the capabilities of Amazon Bedrock, this book is a valuable addition to your library. Highly recommended for developers, data scientists, and tech leaders alike!

Michael Prince Aug 24, 2024

Great level of detail into the GenAi landscape and powers of Bedrock.

Paul Pollock Oct 23, 2024

If you're looking to dive into the world of generative AI without getting bogged down by infrastructure details, this book is a gem. Kwatra and Kaushik make it easy to understand how Amazon Bedrock works, covering everything from choosing the right models to real-world applications like RAG (Retrieval Augmented Generation) and intelligent agents. I particularly enjoyed the clear explanations and hands-on examples that help you get up and running quickly. It’s ideal for developers, data scientists, and AI enthusiasts eager to leverage Amazon’s powerful AI tools. Definitely worth the read if you’re ready to take your AI projects to the next level!

S.Kundu Oct 01, 2024

The book "𝐆𝐞𝐧𝐞𝐫𝐚𝐭𝐢𝐯𝐞 𝐀𝐈 𝐰𝐢𝐭𝐡 𝐀𝐦𝐚𝐳𝐨𝐧 𝐁𝐞𝐝𝐫𝐨𝐜𝐤" will help you to gain a strong understanding of building and scaling generative AI applications with Amazon Bedrock, along with key architectural patterns and security best practices to help solve business challenges and drive innovation within your organization.Few highlights of the book are as below:The first section introduces Amazon Bedrock by exploring the Generative AI landscape and foundation models available on the platform. It offers guidelines for selecting the right model for various use cases and discusses additional generative AI capabilities.It then highlights various methods for accessing and utilizing Bedrock, including APIs, code snippets and integration with LangChain. It introduces PartyRock, Bedrock’s playground for building customized pipelines and chaining multiple models.The next part explores prompt engineering, offering techniques and best practices for crafting prompts to optimize the use of generative AI models. It equips readers with a solid understanding of how to create prompts that elicit desired outcomes.Additionally, the book provides a detailed guide on customizing foundation models for enhanced performance in domain-specific use cases. It covers data preparation, creating custom models and analyzing results, offering insights into best practices for successful model customization.Then the book dives into the Retrieval Augmented Generation (RAG) approach, explaining how external data sources can be integrated with language models to reduce hallucination. It covers the use of RAG with Amazon Bedrock and discusses alternative methods such as LangChain.Following this, the book explores text generation and summarization using Bedrock’s capabilities, with a focus on real-world use cases. Additionally, it addresses how to build question-answering systems and conversational interfaces, emphasizing prompt engineering techniques, conversation memory, embeddings and contextual awareness for creating intelligent and engaging chatbots.The next part delves into advanced applications of Amazon Bedrock, including entity extraction and code generation, providing practical strategies for implementation. It also covers image generation using Bedrock’s multimodal models and explores real-world applications, design patterns for multimodal systems and ethical safeguards.Finally, the book provides comprehensive coverage of evaluating and monitoring models using AWS tools, alongside a deep dive into the security and privacy measures in place, such as data encryption, access control and content filtering, ensuring responsible AI practices.

Generative AI with Amazon Bedrock: Build, scale, and secure generative AI applications using Amazon Bedrock

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