Building Scalable, Autonomous AI Systems with Amazon Bedrock: Mastering Serverless Agentic Workflows with Integrated Tools, Code Execution, and Responsible Guardrails
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.
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