{"product_id":"9798868823602","title":"Agentic AI for Engineers: Architecting Goal-Driven Systems","description":"\u003ch1\u003eAgentic AI for Engineers: Architecting Goal-Driven Systems\u003c\/h1\u003e \u003ch2\u003eNagasubramanian, Dhivya\u003c\/h2\u003e \u003cp\u003e\u003c\/p\u003e\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto;\"\u003eAs 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.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto;\"\u003eThe 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.\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto;\"\u003eBy 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, \u003cem\u003e\u003cspan style=\"font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi;\"\u003eAgentic AI for Engineers\u003c\/span\u003e\u003c\/em\u003e equips you with the knowledge, tools, and mindset to lead in the era of intelligent agents.  \u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto;\"\u003e\u003cstrong\u003eWhat You Will Learn\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-weight: normal; mso-bidi-font-weight: bold;\"\u003eA practical introduction to Machine Learning and Generative AI, tailored for engineers\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-weight: normal; mso-bidi-font-weight: bold;\"\u003eConceptualize, design, and build autonomous AI agents from scratch—even with a minimal AI background.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-weight: normal; mso-bidi-font-weight: bold;\"\u003eThe core principles of Agentic AI, including goals, environments, actions, and feedback loops\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-weight: normal; mso-bidi-font-weight: bold;\"\u003eUnderstand different Agentic AI frameworks and their applications.\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-weight: normal; mso-bidi-font-weight: bold;\"\u003eIntegrate agentic systems into real-world applications using hands-on coding examples\u003c\/span\u003e\u003c\/li\u003e\n\u003cli class=\"Bodyparagraph\"\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-font-kerning: 1.0pt; mso-ligatures: standardcontextual; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-weight: bold;\"\u003eReview strategies for ensuring safe, ethical, and auditable agent behavior in production environments\u003c\/span\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003e\u003cspan style=\"font-size: 12.0pt; line-height: 115%; font-family: 'Aptos',sans-serif; mso-ascii-theme-font: minor-latin; mso-fareast-font-family: Aptos; mso-fareast-theme-font: minor-latin; mso-hansi-theme-font: minor-latin; mso-bidi-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; mso-font-kerning: 1.0pt; mso-ligatures: standardcontextual; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA; mso-bidi-font-weight: bold;\"\u003eWho This Book Is For\u003c\/span\u003e\u003c\/strong\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-left: .25in; text-align: justify; line-height: 150%;\"\u003e\u003cspan style=\"font-size: 14.0pt; line-height: 150%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-font-kerning: 0pt; mso-ligatures: none;\"\u003ePrimary audience includes \u003c\/span\u003e\u003cspan style=\"font-size: 14.0pt; line-height: 150%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: #222222; mso-font-kerning: 0pt; mso-ligatures: none; mso-fareast-language: EN-IN;\"\u003eSoftware Engineers, DevOps, and Data Engineers curious about building intelligent, autonomous systems but who lack formal AI training; Technical Product Managers and Engineering Leaders looking to understand and implement Agentic AI in real-world systems; System Architects and Automation Engineers exploring the shift from traditional automation to intelligent agent-based architectures. \u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoNormal\" style=\"mso-margin-top-alt: auto; margin-left: .25in; text-align: justify; line-height: 150%;\"\u003e\u003cspan style=\"font-size: 14.0pt; line-height: 150%; font-family: 'Times New Roman',serif; mso-fareast-font-family: 'Times New Roman'; mso-bidi-theme-font: minor-bidi; color: #222222; mso-fareast-language: EN-IN;\"\u003eAI\/ML Enthusiasts and self-learners, Engineering and computer science students, and professionals in emerging tech domains who want to build or deploy autonomous agents will also benefit from this book.\u003c\/span\u003e\u003c\/p\u003e\n\u003cp class=\"MsoListParagraphCxSpLast\" style=\"mso-margin-top-alt: auto; mso-margin-bottom-alt: auto; mso-add-space: auto; text-indent: -.25in; line-height: normal; mso-list: l0 level1 lfo1; tab-stops: list .5in; background: white;\"\u003e \u003c\/p\u003e\n\u003cp\u003e \u003c\/p\u003e \u003ch3\u003eDetails\u003c\/h3\u003e \u003cp\u003ePublished by: Apress\u003c\/p\u003e \u003cp\u003ePublication Date: 2026-04-02\u003c\/p\u003e \u003cp\u003eFormat: Paperback\u003c\/p\u003e \u003cp\u003eISBN-13: 9798868823602\u003c\/p\u003e \u003cp\u003eDOI: 10.1007\/979-8-8688-2361-9\u003c\/p\u003e \u003cp\u003eDimensions: 254cm x178cm\u003c\/p\u003e \u003cp\u003ePages: 442\u003c\/p\u003e ","brand":"Apress","offers":[{"title":"Default Title","offer_id":45228878233740,"sku":"9798868823602","price":35.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9798868823602.jpg?v=1778009300","url":"https:\/\/lateknightbooks.com\/products\/9798868823602","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}