Building Scalable Autonomous Ai Systems With Amazon Bedrock

Building Scalable, Autonomous AI Systems with Amazon Bedrock

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.

BUILDING SCALABLE, AUTONOMOUS AI SYSTEMS WITH AMAZON BEDROCK

A Practical Guide to Generative AI Using Amazon Bedrock

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