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Building Agentic AI Systems with Python: A Practical Guide to Creating Chatbots, Automation Pipelines, and Autonomous Agents with LLMs and Reinforceme
Paperback
Series: Modern AI Systems Engineering with Python, Book 1
Publisher: Independently Published
Published: Jan 20 2026
Pages: 158
Weight: 0.63
Height: 0.34 Width: 7.00 Depth: 10.00
Language: English
You will learn how agentic systems work at a fundamental level, covering agent architectures, memory, planning, tool usage, and decision-making. The book explores how LLMs drive reasoning and interaction, how reinforcement learning enables adaptive behavior, and how multiple agents can collaborate to solve complex tasks.
Through step-by-step projects and real implementations, you will build:
- Conversational AI agents with persistent memory and contextual awareness
- Task-oriented agents that use tools, APIs, and external services
- Automation pipelines using frameworks like n8n
- Multi-agent systems capable of coordination and collaboration
- Python-driven autonomous agents that learn and improve over time
Who This Book Is For
This book is written for developers, engineers, data scientists, and AI enthusiasts who want to move beyond simple scripts and build intelligent, agent-based systems. A basic understanding of Python is recommended, but no prior experience with reinforcement learning or agent frameworks is required.
If you want to build AI systems that don't just respond, but think, learn, and act, this book provides the practical knowledge and hands-on skills to help you do it.
Start building the next generation of intelligent automation with agentic AI.
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