Serverless Agentic Workflows With Amazon Bedrock

Serverless Agentic Workflows with Amazon Bedrock

Serverless Agentic Workflows with Amazon Bedrock: Mastering Agentic AI for Building Self-Directed, Scalable Systems with Integrated Tools, Code Execution, and Responsible Guardrails is your definitive guide to the next generation of intelligent systems. This book unites the power of Amazon Bedrock generative AI and cutting-edge serverless architectures to create context-aware, multimodal applications that are designed to work autonomously in real-world environments. Inside, you will explore how to master generative AI applications, build self-directed AI systems, and design modern agentic architectures that leverage Retrieval-Augmented Generation (RAG) for dynamic, intelligent decision-making. From practical, step-by-step instructions in Python to deep dives into cognitive frameworks for agentic AI, this book offers comprehensive insights into building multi-agent systems that are not only scalable and efficient but also ethically responsible. Learn to integrate external tools, connect seamlessly with CRMs and support repositories, and orchestrate multiple agent actions to create truly autonomous AI systems. Whether you are focused on building innovative, context-aware applications on AWS, mastering agentic RAG architectures, or preparing for the artificial intelligence revolution, this book provides the practical, hands-on approach you need. Designed for engineers, architects, and business leaders, this practical guide to innovation in AI equips you with the skills to future-proof your organization. By blending detailed code illustrations with robust architectural insights, it shows you how to create intelligent systems that meet real-world demands while adhering to best practices for responsible deployment. Transform your approach to AI with a resource that is as forward-thinking as it is practical. Embrace the future of autonomous, agentic AI systems and revolutionize your organization with strategies that drive efficiency, innovation, and lasting success.

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.