Agentic Ai

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Agentic Ai

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Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-01-02

Agentic Ai written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Technology & Engineering categories.

In Agentic AI, readers are taken on a compelling journey into the transformative world of autonomous artificial intelligence. This in-depth exploration covers the evolution of agentic systems, from their historical roots in early automata to their role in shaping future technologies. The book delves into the philosophy of agency in machines, examining the intricate balance between control and independence, and how these systems are redefining fields such as healthcare, defense, space exploration, and creative industries. With chapters focused on the critical components of agentic AI including decision-making, learning, goal-orientation, and ethical considerations Maria Johnsen sheds light on both the technical and moral implications of creating AI systems capable of autonomous action. The book also addresses pressing concerns such as privacy, bias, fairness, and the societal impact of AI, offering insights into its integration into diverse sectors, from smart cities to autonomous transportation. A particularly poignant section highlights the moral responsibility of agentic AI, exploring how ethical frameworks can guide the development of these systems and ensure accountability in their decision-making processes. The future of work and the potential for AI to disrupt industries and create new roles is also examined, with a focus on preparing society for the inevitable changes on the horizon. Through case studies, expert insights, and future predictions, Agentic AI offers a comprehensive look at how autonomous systems are shaping our world and what lies ahead in the next frontier of artificial intelligence.

Building Agentic Ai Systems

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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21

Building Agentic Ai Systems written by Anjanava Biswas 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 2025-04-21 with Computers categories.

Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.

Agentic Artificial Intelligence

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Author : John Cook
language : en
Publisher: Top Tier Press
Release Date : 2025-12-12

Agentic Artificial Intelligence written by John Cook and has been published by Top Tier Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-12 with Computers categories.

🚀 Turn Artificial Intelligence into Your Smartest Business Partner 📈 What if AI could do more than just follow commands? What if it could think, plan, and act alongside you—amplifying your decisions, accelerating results, and unlocking new levels of innovation? Agentic Artificial Intelligence is your definitive playbook for working with the next generation of AI—systems that go beyond automation to become proactive, goal-driven partners in progress. This is where theory ends and transformation begins. Forget the buzzwords. This book delivers a clear, actionable roadmap for understanding, building, and collaborating with agentic AI—tools that analyze, decide, and execute with autonomy. Whether you’re a leader, entrepreneur, or innovator, you’ll learn how to turn AI from a concept into a decisive advantage. In this book, you’ll master how to: ✅ Unlock the agency advantage — Discover why agentic AI is redefining the limits of productivity, innovation, and strategy. ✅ Master the anatomy of an agent — Learn the core elements that give AI goals, memory, reasoning, and adaptability. ✅ Navigate the autonomy spectrum — Find the right balance between human guidance and machine independence. ✅ Build seamless human + agent teamwork — Delegate intelligently, accelerate performance, and maintain oversight. ✅ Implement ethics and safeguards — Create intelligent systems that build trust, not risk. ✅ Access the exclusive “AI in Action” resource — A downloadable toolkit with real-world examples, templates, and frameworks to help you apply every concept immediately. This isn’t theory, it’s a roadmap to the future of intelligent collaboration. You’ll gain the mindset, methods, and mastery to make AI a partner that works with you, not just for you. If you’ve ever wondered, “How can I make AI work for me?” — this is your answer. The future of work belongs to those who lead with intelligence—human and artificial. Don’t just adapt to the AI era. Command it. Get your copy of Agentic Artificial Intelligence today—and start building your smartest business partner.

Agentic Ai In Enterprise

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Author : Sumit Ranjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-13

Agentic Ai In Enterprise written by Sumit Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-13 with Computers categories.

This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security. Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption. Through real-world case studies, the book illustrates AI’s impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings. By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards. You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations. Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows. Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption. Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards. This book is for : Enterprise Architects.

Building Agentic Ai

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Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-12-08

Building Agentic Ai written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-08 with Computers categories.

Transform Your Business with Intelligent AI to Drive Outcomes Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research. Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. Harness the power of reasoning models for applications like computer use, multimodal systems to work with all kinds of data, and fine-tuning techniques to get the most out of AI. Learn to test, monitor, and optimize agentic systems to keep them reliable and cost-effective at enterprise scale. Master the complete agentic AI pipeline Design adaptive AI agents with memory, tool use, and collaborative reasoning capabilities Build robust RAG workflows using embeddings, vector databases, and LangGraph state management Implement comprehensive evaluation frameworks beyond accuracy, including precision, recall, and latency metrics Deploy multimodal AI systems that seamlessly integrate text, vision, audio, and code generation Optimize models for production through fine-tuning, quantization, and speculative decoding techniques Navigate the bleeding edge of reasoning LLMs and computer-use capabilities Balance cost, speed, accuracy, and privacy in real-world deployment scenarios Create hybrid architectures that combine multiple agents for complex enterprise applications Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Agentic Ai

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Author : Gotlur Kalpana
language : en
Publisher: Independently Published
Release Date : 2025-10-26

Agentic Ai written by Gotlur Kalpana and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-26 with Computers categories.

"Agentic AI: The Next Self" Foundations, Integration, and Future Directions explores the next frontier of artificial intelligence where creativity meets autonomy. The book examines how generative models produce text, images, and ideas, while agentic systems plan, reason, and act independently. It bridges theory and practice, offering insights into the fusion of these paradigms for real-world applications. Readers will gain a deep understanding of LLMs, agentic frameworks, and multimodal AI. Ethical, legal, and societal implications are critically discussed, ensuring a balanced perspective. Written in clear, structured language, it connects core principles with cutting-edge research. This book is especially helpful for students, researchers, educators, and AI professionals seeking to understand the evolution from generative to autonomous intelligence. It also serves as a valuable reference for policymakers and innovators aiming to build responsible, human-aligned AI systems for the future.

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

Building Agentic Ai With N8n

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Author : Calen Voss
language : en
Publisher: Independently Published
Release Date : 2025-06-24

Building Agentic Ai With N8n written by Calen Voss and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.

The future of automation is agentic. With the rise of AI agents, large language models (LLMs), and no-code platforms, businesses and developers are rethinking how they build intelligent, scalable systems. n8n is a powerful open-source workflow automation tool that bridges no-code ease with advanced AI integrations, enabling users to build autonomous agents powered by GPT-4, Claude, Gemini, and custom APIs-without writing complex infrastructure code. This book is authored by a seasoned automation architect with hands-on experience building agentic workflows, AI copilots, and production-ready LLM-powered assistants. Drawing from real-world case studies, enterprise-grade automation patterns, and platform-specific techniques, this guide reflects today's best practices for anyone building next-generation AI systems using n8n. "BUILDING AGENTIC AI with n8n" is a practical and complete guide to designing, integrating, and deploying intelligent, autonomous agents using the n8n automation platform. You'll learn how to connect LLMs like OpenAI and Gemini, implement memory and context management, connect to APIs and databases, and scale your agentic workflows with reliability and observability. Whether you're a solo creator, startup builder, or automation engineer, this book delivers actionable knowledge for building real AI systems-without writing endless boilerplate code. Foundations of Agentic AI, No-Code Architecture, and Event-Driven Design Step-by-step guide to building LLM-integrated workflows Prompt engineering templates and AI chaining methods How to securely connect APIs (OpenAI, Gemini, LangChain, etc.) Data pipelines, customer support agents, and real-world use cases Debugging, monitoring, version control, and deployment strategies Comparisons with LangChain, Flowise, and other agent frameworks Appendices with prompt templates, API reference, and glossary This book is ideal for automation enthusiasts, no-code builders, developers, AI tinkerers, solopreneurs, tech startups, and operations teams looking to implement smart agentic workflows. Whether you're new to AI automation or seeking to enhance your LLM projects with reliable tools like n8n, this guide provides clear, hands-on knowledge without unnecessary fluff. In just a few hours, you'll go from understanding what agentic AI means to deploying your own intelligent workflows using n8n and state-of-the-art AI APIs. Each chapter is designed to deliver immediate value, progressively deepening your technical expertise and confidence with practical projects you can build today. Start building smarter, faster, and more autonomous systems-today. Buy "BUILDING AGENTIC AI with n8n" now and unlock the power of no-code AI agents, LLM workflows, and event-driven automation. Whether you're creating internal tools or launching AI-powered products, this book is your blueprint for scalable, future-ready AI automation.

Agentic Ai

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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-11

Agentic Ai 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 2025-07-11 with Business & Economics categories.

This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.

Introduction To Agentic Ai Unlocking The Potential Of Self Improving Ai Systems

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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :

Introduction To Agentic Ai Unlocking The Potential Of Self Improving Ai Systems 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.

Introduction to Agentic AI: Unlocking the Potential of Self-Improving AI Systems explores the evolution, architecture, and real-world applications of autonomous, adaptive, and self-improving AI agents. Unlike traditional AI models, Agentic AI systems exhibit autonomy, goal-driven behavior, and the ability to learn and optimize over time without human intervention. The book begins by defining the core principles of Agentic AI, highlighting its distinction from conventional machine learning systems. It delves into key components such as cognitive architectures, decision-making frameworks, multi-agent collaboration, reinforcement learning, and memory management, explaining how AI agents perceive, reason, and adapt. Advanced techniques like hybrid AI architectures, self-optimization loops, and meta-learning are discussed in depth, demonstrating how AI agents continuously refine their capabilities. Practical applications of Agentic AI are explored in healthcare, autonomous vehicles, finance, business automation, and multi-agent systems. The book examines real-world challenges, including AI alignment, security threats, ethical dilemmas, and regulatory compliance, ensuring responsible deployment of self-improving AI. Finally, the book looks ahead to the future of AI, covering advancements toward Artificial General Intelligence (AGI), the role of explainable AI (XAI), and the emerging trends shaping next-generation AI systems. By offering technical insights, case studies, and strategic perspectives, this book provides a comprehensive guide for researchers, developers, and AI practitioners aiming to build intelligent, self-improving AI agents that drive real-world impact.