The Agentic AI Bible: The Complete and Up-to-Date Guide to Design, Develop, and Scale Goal-Driven, LLM-Powered Agents that Think, Execute and Evolve

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AI Agents in Action, Second Edition: Intelligent workflows with LLMs, MCP, A2A, and more

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Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents

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Building Applications with AI Agents: Designing and Implementing Multiagent Systems

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AI Engineering: Building Applications with Foundation Models

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An Illustrated Guide to AI Agents: Concepts and Code for Building Agents with LLMs, Tools, and Memory

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Building AI Agents for Network Operations: Design LLM-powered NetOps workflows with Python, Ollama, MCP, and tool calling

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30 Agents Every AI Engineer Must Build: Build production-ready agent systems using proven architectures and patterns

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AI Agents: The Definitive Guide: Design, Deployment, and Evaluation for Production

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Agentic AI Engineering: Systems That Reason and Act Autonomously – Designing, Building, and Prompting LLM-Based Agents for Real-World Deployment

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