Agentic Ai Foundations
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Agentic Ai Foundations
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Author : Nova H Linx
language : en
Publisher: Independently Published
Release Date : 2025-12-08
Agentic Ai Foundations written by Nova H Linx and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-08 with Computers categories.
Unlock the Future of AI: Build Your First Autonomous Agent Today In a world where AI is evolving from simple chatbots to intelligent, self-directed systems that plan, decide, and act on their own, staying ahead means mastering agentic AI-before it reshapes your career and industry without you. Agentic AI Foundations: A Beginner's Guide to Autonomous AI Agents and Intelligent Decision-Making Systems by Nova H. Linx is the essential, no-nonsense roadmap for curious beginners and early-career professionals ready to harness the next wave of AI innovation. Written in a warm, conversational tone that cuts through the hype and jargon, this book empowers you to understand, build, and deploy autonomous agents that reclaim your time, boost your productivity, and give you an unbeatable edge in 2026 and beyond. Whether you're a marketer tired of endless admin, a developer seeking smarter workflows, or a founder juggling too many hats, this guide transforms overwhelming concepts into actionable steps, without requiring a single line of code. Here's what you'll gain when you buy this book-your unfair advantage in the agentic era: Crystal-Clear Foundations Without the Overwhelm: Grasp the simplest definition of agentic AI, the key differences from basic chatbots, and the four must-have components every autonomous system needs, explained like a trusted friend over coffee, so you finally "get it" without drowning in math or theory. Hands-On Building from Day One: Step-by-step guidance to create your first working agent this weekend using free, no-code tools;complete with templates for email triage, research briefs, content repurposing, and more-that save you 10-20 hours a week right away. Real-World Stories and Proven Strategies: Inspiring tales from professionals like you who've used agents to accelerate research, automate coding, close sales, and reclaim family time-plus honest warnings about risks, limitations, and how to stay safe, so you build with confidence, not blind trust. Exclusive Bonuses for Immediate Impact: 7 copy-and-paste agent templates, a 2026 toolkit of the best free and paid tools, a 30-day mastery roadmap, and FAQs that answer every lingering doubt, giving you everything to start delegating today and scale tomorrow. A Lifelong Skillset for Exponential Growth: Learn to think like an AI director, turning agents into tireless teammates that amplify your creativity, judgment, and output, positioning you as the go-to expert in meetings, interviews, and your field. Imagine waking up to finished reports, organized inboxes, and fresh insights, while you focus on what truly lights you up. This isn't hype; it's the practical reality thousands of readers are already living. Don't wait for the agent revolution to pass you by, grab your copy now and step into a future where AI works for you, not the other way around. Buy Agentic AI Foundations today and build the leverage that changes everything.
Foundations Of Agentic Ai
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Author : Walter K Allen
language : en
Publisher: Independently Published
Release Date : 2025-11-05
Foundations Of Agentic Ai written by Walter K Allen and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-05 with Computers categories.
Unlock the Future of Artificial Intelligence: Become an AI Agent Developer Step into the revolutionary world of Agentic AI, where intelligent agents are transforming industries and redefining the boundaries of machine learning. "Foundations of Agentic AI" is your gateway to understanding the core principles and cutting-edge concepts that drive these autonomous systems. Whether you're an AI enthusiast, developer, or industry professional, this book will equip you with the knowledge and mindset to build the future of AI. Dive Deep into the World of Agentic AI Explore the fundamental concepts of agency, autonomy, and intelligence in AI Discover how agentic AI differs from traditional AI systems and its potential applications Learn from real-world examples and case studies of agentic AI in action Develop a deep understanding of the key components, architectures, and design principles of agentic AI systems Build the Mindset of an AI Agent Developer Cultivate the skills and knowledge needed to design, build, and deploy intelligent agents Understand the importance of adaptability, decision-making, and problem-solving in agentic AI Learn how to evaluate and improve the performance of agentic AI systems Stay ahead of the curve with insights into the latest advancements and future directions in agentic AI What You'll Gain: A comprehensive understanding of agentic AI and its applications The ability to design and build intelligent agents that can adapt and learn Insights into the latest research and developments in agentic AI A mindset geared towards innovation and problem-solving in AI Who is this book for? AI enthusiasts and developers looking to expand their knowledge of agentic AI Industry professionals seeking to leverage agentic AI in their organizations Researchers and academics interested in the latest advancements in AI Anyone curious about the future of artificial intelligence and its potential applications Get started on your agentic AI journey today and discover the possibilities that await! This description highlights the key benefits of your book, including: Comprehensive coverage of agentic AI fundamentals Real-world examples and case studies Practical skills and knowledge for building intelligent agents Insights into the latest advancements and future directions in agentic AI
Securing Ai Agents
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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-09-30
Securing Ai Agents written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-30 with Computers categories.
This book focuses on agentic AI security, providing a comprehensive guide to the theoretical foundations and practical techniques required to secure the increasingly prevalent AI agent systems. It examines the security challenges posed by multi-agent environments and presents real-world examples of open-source frameworks and commercial solutions to mitigate these risks. It answers key questions, including how to conduct threat modeling for agentic AI systems, how to secure communication and identity within multi-agent environments, and how to leverage open-source frameworks and commercial solutions for effective security. The book features dedicated chapters on agentic AI threat modeling, identity security, communication security in MAS (Multi-Agent Systems), red teaming, AI agents life cycle security, capability and security benchmarking using GAIA and AIR frameworks, Reinforcement Learning (RL) and security, secure agentic AI deployment strategies, innovative open source security frameworks (Cloud Security Alliance and OWASP examples), and case studies of commercial startups addressing agentic AI security challenges. It also explores the unique threat landscape of agentic AI, the challenges of securing communication and identity within multi-agent systems, and the practical application of security benchmarks and open-source frameworks. As such, the book equips cybersecurity professionals, AI developers, and researchers with the knowledge and tools to mitigate the unique security risks associated with autonomous agents and multi-agent systems.
Architectures For The Intelligent Ai Ready Enterprise
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Author : Boris Bialek
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-09-05
Architectures For The Intelligent Ai Ready Enterprise written by Boris Bialek and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-05 with Computers categories.
Create AI-ready enterprise solutions with MongoDB and discover how to design intelligent architectures that transform data into innovation, efficiency, and real business value Key Features Complete guide covering GenAI to agentic AI, semantic protection to multi-agent systems 25+ proven AI use cases delivering measurable impact across 6+ industries 15+ real enterprise case studies from Novo Nordisk, Base 39, and more Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAI is reshaping industries, yet most organizations struggle to scale beyond pilots. Architectures for the Intelligent AI-Ready Enterprise bridges this gap with practical frameworks for building AI-ready architectures that deliver lasting business value. The book helps you explore System of Action databases and see why they're revolutionizing real-time decision-making. Through real-world applications across industries, from manufacturing and healthcare to financial services and retail, you'll discover how leading organizations transform their operations. You'll learn semantic data protection techniques that enable AI in regulated industries, as well as master advanced patterns including agentic AI and multi-agent orchestration. Written by MongoDB and industry practitioners, this book combines strategy with technical depth and proven business value. You’ll modernize by enabling AI innovation while preserving existing investments, implement trustworthy AI with governance frameworks, and build scalable solutions using a unified data platform like MongoDB that delivers measurable ROI and transformation. Whether you're architecting next-generation systems or modernizing legacy infrastructure, this book provides the patterns, case studies, and expert guidance to build enterprises that’ll thrive in an intelligent future.What you will learn Design AI-ready data architectures that scale in production Define systems of action and explain why they matter for enterprises Modernize legacy systems for AI-ready, unified architectures Implement governance, privacy, and compliance frameworks for AI Explore real-world AI implementations for over six industries Deploy production RAG and agentic systems with MongoDB Apply semantic data protection in regulated industries Build domain-specific AI agents and intelligent copilots Apply MCP, causal AI, and multi-agent systems for future-ready architectures Who this book is for This book is for IT leaders, enterprise architects, solution designers, and innovators ready to transform AI potential into production reality. Whether you're modernizing legacy systems, implementing scalable AI solutions, or translating AI concepts into measurable business outcomes, this book provides practical frameworks and industry-proven patterns. Basic familiarity with enterprise systems and data architecture is helpful, but deep AI expertise isn't required.
Foundations Of Agentic Ai For Retail
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Author : Fatih Nayebi
language : en
Publisher:
Release Date : 2025-05-05
Foundations Of Agentic Ai For Retail written by Fatih Nayebi and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-05 with Business & Economics categories.
Foundations of Agentic AI for Retail is more than just a book-it's your ultimate playbook for thriving in a rapidly evolving retail landscape. Written by a leading retail AI pioneer, this authoritative guide uncovers a powerful new paradigm of intelligent systems that don't just process data, but actively think, adapt, and learn in real time. Inside, you'll discover how Agentic AI is already reshaping everything from supply chain operations and inventory management to omnichannel personalization and customer engagement. Drawing upon in-depth frameworks, real code examples, and hands-on case studies, this book provides a clear roadmap for designing, deploying, and orchestrating autonomous systems that deliver tangible business results. Whether you're a retail executive aiming to future-proof your strategy, a tech professional eager to implement next-generation solutions, or an AI enthusiast curious about the next frontier of machine intelligence, Foundations of Agentic AI for Retail shows you how to: - Reimagine Retail Operations: Gain unprecedented visibility and control over every step of the retail value chain, using Agentic AI to optimize processes, reduce costs, and improve speed-to-market. - Elevate the Customer Experience: Leverage predictive analytics, real-time personalization, and cutting-edge conversational agents to delight shoppers at every touchpoint-online, in-store, and beyond. - Implement with Confidence: Navigate the technical architecture, integration challenges, and ethical considerations that shape real-world AI deployments, guided by practical code snippets and proven best practices. - Master the Multi-Agent Future: Discover how Agentic AI collaborates across functions-pricing, marketing, fulfillment, and more-to deliver a seamless, data-driven ecosystem that propels your retail business ahead of the competition. Brimming with actionable insights and visionary foresight, Foundations of Agentic AI for Retail is your ticket to building a retail empire that's smarter, leaner, and ready for the future.
Cognitive Foundations Of Agentic Ai From Theory To Practice
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Cognitive Foundations Of Agentic Ai From Theory To Practice written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Cognitive Foundations of Agentic AI: From Theory to Practice explores the conceptual and technical underpinnings of AI systems that act with autonomy, proactivity, and social intelligence. Drawing from cognitive science, artificial intelligence, and systems theory, this book provides a structured view of how intelligent agents perceive, learn, reason, and interact in dynamic environments. Beginning with a detailed exploration of what defines Agentic AI, the book delves into the cognitive processes that support agency—perception, learning, reasoning, memory, and decision-making. It bridges classical symbolic models with modern deep learning and neuro-symbolic systems to illustrate how hybrid architectures can enable generalizable, goal-driven behavior. Emphasis is placed on modeling real-world complexity, social cognition, and human-like interaction through language, emotional awareness, and theory of mind. The text also critically examines challenges such as generalization, ethical alignment, uncertainty, and explainability. Through illustrative case studies in robotics, healthcare, digital assistants, and multi-agent systems, it highlights the real-world implications and limitations of agentic systems. The final chapters outline practical pathways to building cognitive agents, including architecture design, training environments, and evaluation methods. It encourages a collaborative AI-human future where agents not only support but enhance human decision-making, learning, and creativity. Ideal for AI practitioners, researchers, and graduate students, the book offers both a theoretical framework and practical insights into creating autonomous systems that think, learn, and act intelligently. It invites readers to rethink intelligence not as a fixed trait but as an emergent, contextual process deeply rooted in cognition.
Agentic Ai 360 Foundations Architectures And Futures
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Author : S. R. Jena
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-08-12
Agentic Ai 360 Foundations Architectures And Futures written by S. R. Jena and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
ABOUT THE BOOK The World is witnessing a remarkable shift in the trajectory of Artificial Intelligence—from systems that merely react to stimuli or process data to agents capable of autonomous decision-making, goal pursuit, moral reasoning, and social interaction. This transformation calls for a new conceptual and practical framework: Agentic AI. The term denotes intelligent systems that operate as agents—autonomous entities with beliefs, desires, intentions, and the ability to act toward achieving objectives within dynamic environments. These agentic systems are not only reactive or predictive but deliberative and proactive. They can plan, adapt, collaborate, and even evolve in ways that mirror cognitive, emotional, and social intelligence. CHAPTERS PREFACE Why Agentic AI? Scope and Purpose of This Book How to Use This Book Part I: Foundations of Agentic Intelligence Chapter 1: Introduction to Agentic AI Chapter 2: Theoretical Underpinnings Chapter 3: Cognitive Architectures and Models Chapter 4: Autonomy and Embodiment Part II: Architectures and Engineering of Agentic Systems Chapter 5: Core Agent Architectures Chapter 6: Planning and Goal Management Chapter 7: Memory and World Models Chapter 8: Perception and Attention Mechanisms Chapter 9: Learning in Agentic AI Chapter 10: Communication and Interaction Part III: Building Agentic AI in Practice Chapter 11: Frameworks and Toolkits Chapter 12: Agent Simulation and Training Chapter 13: Ethics and Alignment Chapter 14: Agentic Failure Modes Part IV: Advanced Topics and the Future of Agentic AI Chapter 15: Agentic AI and Consciousness Chapter 16: Agent Societies and Collective Intelligence Chapter 17: Agentic AGI and Existential Risk Chapter 18: Agentic AI Applications
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems
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Author : Balaji Adusupalli
language : en
Publisher: Deep Science Publishing
Release Date : 2025-05-07
Artificial Intelligence Driven Transformation In Insurance Security Devops And Intelligent Advisory Systems written by Balaji Adusupalli and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-07 with Computers categories.
The insurance industry is undergoing a radical transformation driven by the exponential growth of artificial intelligence (AI) and digital technologies. Once viewed as a traditional, paperwork-heavy sector, insurance is now embracing intelligent systems to streamline operations, enhance customer experiences, and manage risks more effectively. This book, AI-Driven Transformation in Insurance: Security, DevOps, and Intelligent Advisory Systems, explores the dynamic convergence of AI, cybersecurity, DevOps, and next-generation advisory platforms that are reshaping the insurance landscape. In a world increasingly defined by real-time data and digital interactions, insurance providers must adapt rapidly to stay competitive. AI is no longer a future ambition—it is a present-day imperative. From underwriting automation and fraud detection to personalized policy recommendations and predictive analytics, AI is enabling insurers to make smarter decisions faster. However, this transformation also introduces complex challenges related to data security, system integration, and regulatory compliance. This book takes a holistic view of the AI-powered insurance ecosystem. It discusses how secure DevOps practices—often referred to as DevSecOps—ensure that continuous integration and delivery pipelines are not only agile but also robust against evolving cyber threats. Additionally, it examines the rise of intelligent advisory systems that leverage natural language processing, machine learning, and contextual awareness to provide proactive and highly customized customer support. Through real-world case studies, industry insights, and a blend of technical and strategic analysis, readers will gain a deeper understanding of the tools and frameworks driving this new era of digital insurance. Whether you're a technology leader, insurance executive, data scientist, or researcher, this book offers a timely and practical guide to navigating the AI revolution in insurance. As the boundaries between technology and insurance continue to blur, the future belongs to those who can harness AI not just to automate, but to innovate. We invite you to explore the road ahead—where intelligent systems are not just supporting insurance operations, but redefining them entirely.
Governing The Machine
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Author : Ray Eitel-Porter
language : en
Publisher: Bloomsbury Publishing
Release Date : 2025-10-23
Governing The Machine written by Ray Eitel-Porter and has been published by Bloomsbury Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-23 with Business & Economics categories.
'Responsible AI isn't just a technical challenge – it's a leadership imperative. This book offers essential guidance for anyone navigating the promise of deploying AI at scale. Read this book to understand how.' Reid Hoffman, co-founder of LinkedIn and bestselling author of Superagency: What Could Possibly Go Right with Our AI Future 'Grounded, up-to-date, thorough, actionable – you could read this book, or you could pay consultants gazillions of dollars to tell you something less useful.' Stuart Russell OBE, Professor of Computer Science, University of California, Berkeley Governing the Machine is the essential guide to harnessing the transformative potential of AI, while navigating and mitigating its inherent risks. Despite AI's power to innovate daily life and revolutionize organizations, public trust in AI is low. For companies to take full advantage of AI, it is vital that they adopt and communicate a responsible approach in order to build consumer, employee and investor confidence. Governing the Machine provides business leaders with a practical and flexible framework for building comprehensive and robust AI governance. It empowers organizations to reap the benefits, while ensuring that AI is trustworthy, sustainable and a source of opportunity and profit rather than liability and harm. Drawing on their vast experience advising leading global companies, the authors demystify: · The process of defining AI principles and policies · Recognizing and assessing risks · Approaches for developing safeguards · Selecting the right technical tools and training · Evolving global AI regulations, laws and policies, including the EU AI Act and those in the US, UK and other key regions Whether you're just beginning your AI journey or assessing your organization's approach, this book is your essential guide to seizing the opportunity – and avoiding the pitfalls – of AI systems.
Agentic Ai Systems
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Author : Alejandro Agustin Garcia Polo
language : en
Publisher: Independently Published
Release Date : 2025-10-11
Agentic Ai Systems written by Alejandro Agustin Garcia Polo and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-11 with Computers categories.
Stop fighting with fragile AI agent systems. Start building production-grade architectures that actually work. Most developers building AI agent systems focus on prompts and models-but miss the critical foundation: architecture. The result? Systems that break in production, accumulate errors, and become unmaintainable. Agentic AI Systems: Foundations, Patterns, and Architectures provides the systematic framework that's been missing. This book introduces the MUTTA architecture-a proven pattern for structuring AI agent services that are modular, maintainable, and reliable. What You'll Learn This comprehensive guide takes you from fundamental concepts to production deployment: Foundations & Architecture The progression from simple prompts to autonomous agents-and when to use each How to structure agent systems as composable services with clear inputs and outputs The MUTTA pattern: Manager, Utilities, Tools, and Agents file organization Multi-agent coordination patterns: parallel, handoff, and systematic architectures The Rule of 20 and service depth constraints to prevent error accumulation Data Quality & Error Prevention Why "garbage in, garbage out" is critical for agent systems-and how to prevent it The embedding-based input alignment heuristic for minimizing errors Mathematical foundations of error propagation in sequential systems Recursive alignment techniques for multi-agent pipelines Universal Reusable Patterns RAG (Retrieval Augmented Generation): Overcome knowledge limitations and reduce hallucinations Navigator Pattern: Intelligently explore codebases, databases, and structured data Code Interpreter: Enable unlimited problem-solving through code execution Tool Selector: Manage thousands of tools without overwhelming context windows Error Correction & Verification Lazy Agent Check pattern for knowledge-based verification Overseer pattern for quality assurance and spot-checking Strategy selection based on action criticality (reversible vs. irreversible) Logical fault checking for mathematical proofs and reasoning tasks Practical Applications Complete case studies: chat service, academic researcher, marketing engine Templates and working code examples throughout How to encode MUTTA into coding agent rules (Cursor, GitHub Copilot) Best practices distilled from production systems Who This Book Is For Software engineers, ML engineers, researchers, and technical architects building AI agent systems. Anyone transitioning from prompt engineering to systematic agent development. Prerequisites: Basic Python and LLM familiarity. No deep AI expertise required. Why This Book Is Different While most AI resources focus on prompts and models, this book teaches you how to architect systems that remain robust as they scale. The MUTTA pattern is framework-agnostic-apply these principles with any SDK or framework. Every pattern is illustrated with complete, working Python examples using the OpenAI Agents SDK-chosen for its minimalist approach that teaches fundamentals applicable anywhere. Build Deliberately. Build Systematically. Build Robustly. Transform from building fragile prototypes to architecting production-grade AI agent systems. The future of AI is agentic-and this book equips you to build it. Perfect for: Individual developers, engineering teams adopting AI agents, and organizations building production AI systems.