Agentic AI Development with Python: Create Adaptive AI Agents, Chatbots, and Automation Pipelines with LLMs, Reinforcement Learning, and Open-Source Agent Frameworks - Softcover

Inhaltsangabe

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.

Die Inhaltsangabe kann sich auf eine andere Ausgabe dieses Titels beziehen.