This book provides a practical and comprehensive journey through Agentic AI, beginning with its foundations, core concepts, agent architectures, reasoning, planning, memory, context engineering, and tool use. It then explores Amazon Bedrock, including Agents, Knowledge Bases, action groups, Lambda integration, guardrails, security, and governance, followed by leading frameworks such as LangGraph, CrewAI, and AutoGen. The book also examines multi-agent systems and real-world applications across customer service, software development, data analysis, healthcare, finance, and enterprise automation. The final sections focus on evaluation, monitoring, observability, cost optimization, responsible AI, security, production deployment, and the future of autonomous AI systems, providing readers with the knowledge needed to design, build, and deploy reliable and responsible AI agents.

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