Overview

Python AI Agent Development is a comprehensive blueprint for developers, engineers, data scientists, and automation architects who want to build the next generation of intelligent, autonomous systems. This book combines cutting-edge techniques in AI agents, Retrieval-Augmented Generation (RAG), Python automation, LLM orchestration, and multi-agent collaboration to help you design real-world solutions that think, reason, and act independently. Written by Miles Harwood, this book takes a hands-on, practical approach, guiding you from foundational agent principles to advanced architectures used in modern AI-driven enterprises. You'll learn how to build goal-driven agents, integrate cognitive workflows, develop context-aware reasoning systems, and combine Python with vector databases, tools, APIs, and automation frameworks to build scalable autonomous platforms. Whether you're creating AI assistants, smart business workflows, self-improving automation pipelines, or autonomous decision-making systems, this book equips you with the knowledge and patterns needed to deliver production-grade AI agents that run reliably in the real world. Master agent frameworks, LLM tool use, memory systems, planning algorithms, context retrieval, multi-agent communication, task automation, Python orchestration, and emerging best practices for building resilient AI-powered solutions. By the end of this book, you'll have all the skills necessary to design, implement, and deploy intelligent agents that elevate your applications, services, and workflows into fully autonomous systems.

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