Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Engineering AI Agents With Python: Design, Train and Deploy Intelligent Systems From Simple Bots to Fully Autonomous Agents

Engineering AI Agents With Python: Design, Train and Deploy Intelligent Systems From Simple Bots to Fully Autonomous Agents

Orian, Reid

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798270606763
Publisher: Independently Published
Published: Oct 19 2025
Pages: 330
Weight: 1.69
Height: 0.69 Width: 8.50 Depth: 11.00
Language: English
Engineering AI Agents with Python
Design, Train, and Deploy Intelligent Systems from Simple Bots to Fully Autonomous Agents

Unlock the power of artificial intelligence and take your Python skills to the next level with Engineering AI Agents with Python - the ultimate hands-on guide to building intelligent, goal-driven systems that think, learn, and act on their own.

Whether you're a beginner exploring your first chatbot or an experienced developer ready to build advanced autonomous systems, this book walks you step-by-step through the world of AI agents - from foundational principles to cutting-edge architectures that power real-world automation, robotics, and large language model (LLM) integration.

What You'll Learn Inside:

- The core concepts of AI agents: perception, reasoning, decision, and action

- How to design simple rule-based and reactive agents using Python

- Building intelligent agents with search, heuristics, and reinforcement learning

- Creating goal-oriented and multi-step planning agents for complex tasks

- Integrating Large Language Models (LLMs) like GPT and Claude into autonomous workflows

- Deploying agents in the cloud, monitoring performance, and ensuring security

- Developing scalable multi-agent systems that collaborate and coordinate

- Applying optimization, debugging, and ethical safeguards for real-world reliability

Why This Book Stands Out:

- 100% hands-on and beginner-friendly - learn by coding, testing, and improving real AI agents

- No fluff, no theory-only chapters - every concept is backed by code, flowcharts, and step-by-step logic

- Covers the full lifecycle: design, implementation, deployment, and continuous improvement

- Text-only and accessible - perfect for readers who prefer clear explanations over technical jargon

Who This Book Is For:

- Python developers ready to dive into applied AI

- Students and researchers studying intelligent systems

- Automation engineers and AI enthusiasts building smart agents

- Professionals seeking practical skills in LLMs, reinforcement learning, and AI deployment

By the End of This Book:

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