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Agentic AI Engineering:...

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Price: EUR27.06 - EUR8.74
(as of Jun 26, 2026 21:24:47 UTC – Details)

“We have strong conviction that AI agents will change how we all work and live. Think of agents as software systems that use AI to perform tasks on behalf of users or other systems.”
– Andy Jassy, CEO of Amazon
Agentic AI has quickly emerged as the new class of intelligent systems, fundamentally changing how work is completed and delegated. These agents can reason across multiple steps and pursue goals over time, opening up new possibilities in business, science, and other evolving fields.
Bestselling author Hyun Erwin presents a comprehensive resource spanning 43 modules, organized into seven major chapters. The journey begins with the fundamentals of autonomy and progresses to designing and building agents in Python.
Main Topics
• How autonomous systems differ from automation
• Reasoning loops and core components
• Designing system prompts and tools
• Building single- and multi-agent systems in Python
Who This Book Is For
This book is written for developers, software engineers, and AI enthusiasts who want a deeper understanding of how agents operate. It assumes a basic knowledge of coding and presents the material at an intermediate level.
Table of Contents
• Chapter I – Foundations
• Chapter II – Agent Taxonomies and Architectures
• Chapter III – System Prompt and Tool Design
• Chapter IV – Building a Single-Agent System
• Chapter V – Building a Multi-Agent System
• Chapter VI – Evaluation and Testing
• Chapter VII – Deployment and Operations
Whether you are learning the foundations of agentic AI or building autonomous systems in professional environments, this book provides a structured and practical guide to designing AI agents that operate reliably across real-world workflows.
Scroll up and click Buy Now to start reading.
Latest book revision: 14. June 2026

From the Publisher

Agentic AI Engineering Paperback CoverAgentic AI Engineering Paperback Cover

The Agentic Reasoning LoopThe Agentic Reasoning Loop

ASIN ‏ : ‎ B0GSNX6H12
Publisher ‏ : ‎ Ashford Partners
Accessibility ‏ : ‎ Learn more
Publication date ‏ : ‎ March 15, 2026
Language ‏ : ‎ English
File size ‏ : ‎ 4.0 MB
Screen Reader ‏ : ‎ Supported
Enhanced typesetting ‏ : ‎ Enabled
X-Ray ‏ : ‎ Not Enabled
Word Wise ‏ : ‎ Not Enabled
Print length ‏ : ‎ 329 pages
Page Flip ‏ : ‎ Enabled
Part of series ‏ : ‎ AI Engineering
Best Sellers Rank: #11,175 in Kindle Store (See Top 100 in Kindle Store) #1 in Computer Engineering #2 in Neural Networks #5 in Computer Neural Networks
Customer Reviews: 4.7 4.7 out of 5 stars (53) var dpAcrHasRegisteredArcLinkClickAction; P.when(‘A’, ‘ready’).execute(function(A) { if (dpAcrHasRegisteredArcLinkClickAction !== true) { dpAcrHasRegisteredArcLinkClickAction = true; A.declarative( ‘acrLink-click-metrics’, ‘click’, { “allowLinkDefault”: true }, function (event) { if (window.ue) { ue.count(“acrLinkClickCount”, (ue.count(“acrLinkClickCount”) || 0) + 1); } } ); } }); P.when(‘A’, ‘cf’).execute(function(A) { A.declarative(‘acrStarsLink-click-metrics’, ‘click’, { “allowLinkDefault” : true }, function(event){ if(window.ue) { ue.count(“acrStarsLinkWithPopoverClickCount”, (ue.count(“acrStarsLinkWithPopoverClickCount”) || 0) + 1); } }); });


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