Agentic AI Development with Python (Paperback)

Tyrell Owen

ISBN 13: 9798274637282

Published by Independently Published, 2025

About this Item

Paperback. AI agents are redefining modern software-powering chatbots, automation systems, productivity tools, and fully autonomous workflows. By combining Python, LLMs, reinforcement learning, and agent frameworks like LangGraph, LangChain, and n8n, developers can now build intelligent systems that reason, plan, and act.This book is a practical guide to creating real agentic AI systems from the ground up.If you want to design conversational agents, build task-oriented automation, or deploy fully autonomous decision-making systems, this book provides the tools and step-by-step skills you need.What You Will LearnCore Agent FoundationsHow agent architectures, memory, planning, and tools workThe difference between reactive, cognitive, and autonomous agentsHow LLMs and machine learning models drive intelligent behavior Practical ML & RL for AgentsKey machine learning and deep learning conceptsReinforcement learning for adaptive decision-makingTraining and improving agent behavior Hands-On ProjectsBuild real systems, including: Conversational chatbots with memoryTask-executing agents using tools and APIsAutomation pipelines with n8nMulti-agent collaboration systemsPython-driven autonomous agents Deployment & ScalingPackaging agents for productionIntegrating APIs, vector databases, and external toolsMonitoring, optimizing, and improving performanceWho This Book Is ForDevelopers, engineers, data scientists, and AI enthusiasts who want to build practical, real-world AI agents. A basic understanding of Python is all you need.Build the Future of Intelligent AutomationStart your journey into agentic AI and learn how to create systems that think, learn, and act.Grab your copy and begin building the next generation of AI agents. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Seller Inventory # 9798274637282

Bibliographic Details

• Title: Agentic AI Development with Python (Paperback)
• Publisher: Independently Published
• Publication Date: 2025
• Language: English
• ISBN 13: 9798274637282
• Binding: Paperback
• Condition: new

About this title

Synopsis

AI agents are redefining modern software—powering chatbots, automation systems, productivity tools, and fully autonomous workflows. By combining Python, LLMs, reinforcement learning, and agent frameworks like LangGraph, LangChain, and n8n, developers can now build intelligent systems that reason, plan, and act.
This book is a practical guide to creating real agentic AI systems from the ground up.
If you want to design conversational agents, build task-oriented automation, or deploy fully autonomous decision-making systems, this book provides the tools and step-by-step skills you need.
What You Will Learn
Core Agent Foundations

• How agent architectures, memory, planning, and tools work
• The difference between reactive, cognitive, and autonomous agents
• How LLMs and machine learning models drive intelligent behavior

Practical ML & RL for Agents

• Key machine learning and deep learning concepts
• Reinforcement learning for adaptive decision-making
• Training and improving agent behavior

Hands-On Projects
Build real systems, including:

• Conversational chatbots with memory
• Task-executing agents using tools and APIs
• Automation pipelines with n8n
• Multi-agent collaboration systems
• Python-driven autonomous agents

Deployment & Scaling

• Packaging agents for production
• Integrating APIs, vector databases, and external tools
• Monitoring, optimizing, and improving performance

Who This Book Is For
Developers, engineers, data scientists, and AI enthusiasts who want to build practical, real-world AI agents. A basic understanding of Python is all you need.
Build the Future of Intelligent Automation
Start your journey into agentic AI and learn how to create systems that think, learn, and act.
Grab your copy and begin building the next generation of AI agents.