Amazon Bedrock in Action you own this product

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Generative AI applications on AWS
Renaldi Gondosubroto
  • MEAP began September 2024
  • Publication in Summer 2025 (estimated)
  • ISBN 9781633436091
  • 300 pages (estimated)
  • printed in black & white

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Harness the power of AWS to seamlessly create and scale AI applications using leading foundation models.

AI applications can be complicated, with lots of moving parts and challenging infrastructure requirements. Amazon Bedrock simplifies the process by giving you a fully-managed platform that delivers security, privacy, and responsibility along with a single API for dozens of foundation models including offerings from Anthropic, Meta, and Amazon. Amazon Bedrock in Action is the hands-on guide to Bedrock you need to start effectively integrating AI into your business’s workflows without the hassle of complex AI infrastructure.

Inside Amazon Bedrock in Action you’ll learn how to:

  • Use the Amazon Bedrock API to build AI applications
  • Fine-tune foundation models using Amazon SageMaker and Amazon Bedrock
  • Implement RAG to enhance AI responses
  • Integrate agents for more interactive AI applications
  • Optimize the performance of foundation models with Step Functions and Lambdas

Amazon Bedrock in Action is full of practical tutorials for building real-world AI applications with Bedrock and other AWS services. You won’t need any advanced AI or machine learning knowledge—this book makes it easy to create everything from food-recommending chatbots to financial assistants, with full security and guardrail implementations.

about the book

Amazon Bedrock in Action teaches you how to create and deploy AI solutions using AWS tools. This book explores all aspects of modern AI development, from image creation with Stable Diffusion to Retrieval Augmented Generation (RAG) techniques that optimize AI on your own documents and data. You’ll learn serious AI development skills, including fine-tuning foundational models, optimizing performance with distributed computing, and ensuring AI safety with guardrails. Throughout, you’ll see how Bedrock interacts with the AWS ecosystem, including SageMaker, DataZone, and other powerful tools for building AI applications.

about the reader

For readers who know Python. No advanced knowledge of AI development or AWS required.

about the author

Renaldi Gondosubroto is a Software Engineer and a developer advocate with a wealth of experience developing Artificial Intelligence solutions, He is active in academia, with research focused on generative AI and machine learning. Renaldi has spoken at over 40 events and conferences internationally. He is an AWS Subject Matter Expert (SME) and holds 13 AWS certifications and 20 Microsoft Azure Certifications.

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