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AuthorDhivya Nagasubramanian

As AI rapidly evolves from passive models to autonomous systems capable of setting goals, reasoning, and acting independently, engineers find themselves at the threshold of a new technological era. This book serves as a bridge—connecting the world of traditional engineering to the emerging domain of Agentic AI. It is crafted for hands-on professionals who may not have formal training in AI but are eager to build the next generation of intelligent, goal-driven systems. The journey begins with foundational concepts: what it truly means for a system to exhibit agency, how autonomy differs from automation, and why this distinction matters in practice. Early chapters lay down the necessary groundwork in machine learning and generative AI, allowing readers to appreciate the architecture that enables agentic behavior. From there, the book dives into system design patterns, prompting strategies, and the most influential tools shaping the agentic AI landscape—from LangChain to CrewAI. Practical guidance is provided on engineering agents that are not only capable but also aligned, safe, and robust in dynamic environments. The third chapter shifts into applied engineering: readers are walked step-by-step through building their first AI agent, supported by real-world examples, feedback loop design, and deployment practices that mirror how modern autonomous systems are built. By the final chapter, readers will not only understand agentic systems—they will be ready to build, evaluate, and evolve them. The book closes by addressing the road ahead: open challenges in ethics, unpredictability, and system alignment, along with a roadmap for engineers who want to actively contribute to the field. Whether you're building automation today or preparing for the autonomy of tomorrow, Agentic AI for Engineers equips you with the knowledge, tools, and mindset to lead in the era of intelligent agents.

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ISBN: 8868823608
Publisher: Apress
Publish Year: 2026
Language: 英文
Pages: 460
File Format: PDF
File Size: 10.7 MB
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Agentic AI for Engineers Architecting Goal-Driven Systems — Dhivya Nagasubramanian
Agentic AI for Engineers Architecting Goal-Driven Systems Dhivya Nagasubramanian
Agentic AI for Engineers: Architecting Goal-Driven Systems ISBN-13 (pbk): 979-8-8688-2360-2 ISBN-13 (electronic): 979-8-8688-2361-9 https://doi.org/10.1007/979-8-8688-2361-9 Copyright © 2026 by Dhivya Nagasubramanian This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. Trademarked names, logos, and images may appear in this book. Rather than use a trademark symbol with every occurrence of a trademarked name, logo, or image we use the names, logos, and images only in an editorial fashion and to the benefit of the trademark owner, with no intention of infringement of the trademark. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. While the advice and information in this book are believed to be true and accurate at the date of publication, neither the authors nor the editors nor the publisher can accept any legal responsibility for any errors or omissions that may be made. The publisher makes no warranty, express or implied, with respect to the material contained herein. Managing Director, Apress Media LLC: Welmoed Spahr Acquisitions Editor: Celestin Suresh John Desk Editor: James Markham Editorial Assistant: Gryffin Winkler Cover designed by eStudioCalamar Distributed to the book trade worldwide by Springer Science+Business Media New York, 1 New York Plaza, New York, NY 10004. Phone 1-800-SPRINGER, fax (201) 348-4505, e-mail orders-ny@springer-sbm.com, or visit www.springeronline.com. Apress Media, LLC is a Delaware LLC and the sole member (owner) is Springer Science + Business Media Finance Inc (SSBM Finance Inc). SSBM Finance Inc is a Delaware corporation. For information on translations, please e-mail booktranslations@springernature.com; for reprint, paperback, or audio rights, please e-mail bookpermissions@springernature.com. Apress titles may be purchased in bulk for academic, corporate, or promotional use. eBook versions and licenses are also available for most titles. For more information, reference our Print and eBook Bulk Sales web page at http://www.apress.com/bulk-sales. Any source code or other supplementary material referenced by the author in this book is available to readers on GitHub https://github.com/Apress/Agentic-AI-for-Engineers. For more detailed information, please visit https://www.apress.com/gp/services/source-code. If disposing of this product, please recycle the paper Dhivya Nagasubramanian Minneapolis, Minnesota
To my family, whose patience and belief made this book possible—and to every engineer who dares to build what doesn’t yet exist.
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xxi About the Author Dhivya Nagasubramanian is an independent AI/ML researcher and practitioner who has spent over a decade leading digital transformation and automation initiatives at the enterprise level. Her work sits at the intersection of data science, enterprise architecture, and engineering—building AI systems that operate reliably at scale. Beyond her technical work, Dhivya is deeply invested in advancing AI education, mentoring emerging talent, and shaping responsible AI practices. This book distills her hands-on experience into a practical guide for engineers ready to design, build, and deploy agentic AI systems.