Using Amazon Bedrock

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Generative Ai With Amazon Bedrock

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Author : Shikhar Kwatra
language : en
Publisher: Packt Publishing Ltd
Release Date : 2024-07-31

Generative Ai With Amazon Bedrock written by Shikhar Kwatra and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-31 with Computers categories.

Become proficient in Amazon Bedrock by taking a hands-on approach to building and scaling generative AI solutions that are robust, secure, and compliant with ethical standards Key Features 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 Book DescriptionThe 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.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 Who this book is 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.

Using Amazon Bedrock

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Author : Renaldi Gondosubroto
language : en
Publisher: John Wiley & Sons
Release Date : 2025-10-21

Using Amazon Bedrock written by Renaldi Gondosubroto and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-21 with Computers categories.

A from-scratch roadmap to building generative AI solutions on AWS with Amazon Bedrock In Using Amazon Bedrock: Learn to Architect, Secure and Optimize Generative AI Applications on AWS, accomplished Software Engineer, developer advocate, and AWS Community Builder, Renaldi Gondosubroto, delivers an in-depth walkthrough of Amazon Bedrock, the keystone generative AI service on the Amazon Web Services cloud. Gondosubroto offers a start-to-finish guide of the service and its capabilities, from prompt engineering with foundational models to building applications using the API, working with multimodal models, and fine-tuning. This book provides hands-on instruction on Amazon Bedrock from an experienced developer and AI specialist. It’s packed with real-world code samples, proven best practices, and techniques that result in reliable, secure, and cost-effective generative AI solutions. You’ll also find: Demonstrations of robust governance guardrails and strategies for reducing development time Repeatable, industry-grade frameworks for continuously iterating and optimizing models in production Contemporary updates that incorporate the latest announcements made by Amazon at the re:Invent conference in December 2024 and beyond Perfect for cloud architects, artificial intelligence engineers, and software engineers, Using Amazon Bedrock is an insightful, original, and practical roadmap to generative AI on AWS that explains the AI fundamentals you need to understand to get started in AWS generative AI development and the hands-on techniques you’ll use every day to transform those concepts into efficient, working solutions.

A Practical Guide To Generative Ai Using Amazon Bedrock

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Author : Avik Bhattacharjee
language : en
Publisher: Springer Nature
Release Date : 2025-07-08

A Practical Guide To Generative Ai Using Amazon Bedrock written by Avik Bhattacharjee and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-08 with Computers categories.

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

Introduction To Generative Ai Second Edition

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Author : Numa Dhamani
language : en
Publisher: Simon and Schuster
Release Date : 2026-01-13

Introduction To Generative Ai Second Edition written by Numa Dhamani and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-01-13 with Computers categories.

Get up to speed quickly with generative AI! AI tools like ChatGPT and Gemini, automated coding tools like Cursor and Copilot, and countless LLM-powered agents have become a part of daily life. They’ve also spawned a storm of misinformation, hype, and doomsaying that makes it tough to understand exactly what Generative AI actually is and what it can really do. Introduction to Generative AI, Second Edition delivers a clearly-written survey of generative AI fundamentals along with the techniques and strategies you need to use AI safely and effectively. In this easy-to-read introduction, you’ll learn: • How large language models (LLMs) work • How to apply AI across personal and professional work • The social, legal, and policy landscape around generative AI • Emerging trends like reasoning models and vibe coding Introduction to Generative AI, Second Edition guides you from your first eye-opening interaction with tools like ChatGPT to how AI tools can transform your personal and professional life safely and responsibly. This second edition has been completely revised to reflect the latest developments in the field—from the latest innovations in prompt engineering and AI agents to fresh coverage of multimodal training, reasoning models, no-code tools, retrieval-augmented generation (RAG), and more. About the book Introduction to Generative AI, Second Edition is an up-to-date guide to the capabilities, risks, and limitations of tools like ChatGPT, Gemini, and Claude. This easy-to-follow guide moves quickly through the basics, giving you the skills and understanding to use AI with confidence. Along the way, you’ll explore how AI is impacting even established industries, with an expert-level look at global investment in AI, AI education policy, AI’s economic impact, and the ongoing legal and ethical issues of AI usage. About the reader For anyone interested in generative AI. No technical experience required. About the author Numa Dhamani is a natural language processing expert working at the intersection of technology and society. Maggie Engler is an engineer and researcher currently working on safety for large language models.

A Practical Guide For Mastering Generative Ai Applications Using Amazon Bedrock

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Author : Avik Bhattacharjee
language : en
Publisher:
Release Date : 2025-09-06

A Practical Guide For Mastering Generative Ai Applications Using Amazon Bedrock written by Avik Bhattacharjee and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-06 with Computers categories.

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-worl 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

Building Scalable Autonomous Ai Systems With Amazon Bedrock

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Author : RONALD. TAYLOR
language : en
Publisher: Independently Published
Release Date : 2025-02-21

Building Scalable Autonomous Ai Systems With Amazon Bedrock written by RONALD. TAYLOR and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.

Building Scalable, Autonomous AI Systems with Amazon Bedrock is the definitive guide for developers, AI architects, and business leaders looking to harness the power of serverless, agentic AI workflows. This book provides a step-by-step, hands-on approach to building intelligent, context-aware AI applications using Amazon Bedrock, retrieval-augmented generation (RAG), and multi-agent systems. Whether you are optimizing enterprise automation, scaling autonomous AI assistants, or integrating AI with real-world applications, this book delivers actionable insights and production-grade strategies. From mastering agentic AI architecture and secure code execution to implementing bias mitigation, explainability, and compliance guardrails, this book covers everything needed to design and deploy powerful AI-driven solutions. Learn how to leverage AWS Lambda, EventBridge, and serverless computing for cost-efficient, high-performance AI applications while ensuring security, reliability, and ethical AI governance. Key topics include: ✔ Agentic AI Systems with RAG - How AI agents retrieve, reason, and act autonomously ✔ Building Scalable, Cost-Optimized AI Pipelines - Real-world use cases in finance, healthcare, and customer support ✔ Multi-Agent Architectures and Cognitive AI Frameworks - Developing self-directed, multimodal AI ✔ AI and Emerging Technologies - Integrating blockchain, IoT, and quantum computing for next-gen AI systems Perfect for AI engineers, AWS developers, and tech innovators, this book offers cutting-edge techniques to future-proof your AI applications in an era of autonomous, scalable, and responsible AI.

Progress Report On The Geology And Geochemistry Of The Sinuk Area Seward Peninsula Alaska

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Author : Arthur W. Rose
language : en
Publisher:
Release Date : 1968

Progress Report On The Geology And Geochemistry Of The Sinuk Area Seward Peninsula Alaska written by Arthur W. Rose and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Geochemical prospecting categories.

Geologic Report

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Author :
language : en
Publisher:
Release Date : 1968

Geologic Report written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1968 with Geology categories.

Aws Bedrock In Action

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Author : Camila Jones
language : en
Publisher: Independently Published
Release Date : 2025-08-28

Aws Bedrock In Action written by Camila Jones and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-28 with Computers categories.

Build, Secure, and Ship Generative AI Applications on AWS-The Hands-On Way Generative AI is moving from hype to production-and Amazon Bedrock is the enterprise-grade platform making it possible. AWS Bedrock in Action is your practical, code-first guide to building real-world GenAI applications with Retrieval-Augmented Generation (RAG), multi-agent orchestration, and AI guardrails, all within AWS's secure ecosystem. Written for working developers, cloud engineers, and architects, this book goes beyond theory. Every chapter maps to runnable code in Python and TypeScript, fully provisioned with AWS CDK, and tested in real AWS accounts. You'll learn not only how to invoke Bedrock's foundation models, but also how to operationalize them in production-with the same rigor you'd apply to any mission-critical system. Inside, you'll master: Core Bedrock APIs (Converse, ConverseStream, Embeddings, Async Inference) with real-world usage patterns Knowledge Bases for RAG, from ingestion pipelines to retrieval tuning and S3 Vectors Guardrails for safe GenAI: input/output filtering, policies, and continuous evaluation Agents and Flows, including OpenAPI action groups, tool delegation, and orchestration topologies Enterprise Security with IAM boundaries, KMS encryption, VPC endpoints, and multi-tenant isolation Production-readiness: observability with CloudWatch, structured logs, error budgets, CI/CD pipelines, and SLO-driven operations Cost and performance strategies, from token budgets and caching to provisioned throughput and async batching By the end of this book, you'll have deployed a production-grade Bedrock microservice, wired to RAG pipelines, secured with guardrails, and observable in CloudWatch. More importantly, you'll have the muscle memory to build, scale, and ship GenAI features at enterprise standards-without guesswork. Whether you're integrating generative AI into an existing system or building a brand-new application, AWS Bedrock in Action gives you the tools, patterns, and discipline to succeed. Perfect for developers, engineers, and architects who want to move beyond toy demos and deliver real GenAI value on AWS.

Engineering And Mining Journal

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Author :
language : en
Publisher:
Release Date : 1897

Engineering And Mining Journal written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1897 with Engineering categories.