The Beginner S Guide To Agentic Ai

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The Beginner S Guide To Agentic Ai
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Author : Growproin
language : en
Publisher: Growproin
Release Date : 2025-02-11
The Beginner S Guide To Agentic Ai written by Growproin and has been published by Growproin this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-11 with Computers categories.
Artificial Intelligence (AI) is evolving rapidly, and the next major breakthrough is here—Agentic AI. Unlike traditional AI models that rely on human input, Agentic AI can perceive, reason, act, and learn autonomously, making decisions with minimal human oversight. This revolutionary form of AI is reshaping industries, optimizing automation, and driving intelligent decision-making across business, healthcare, finance, and technology. What You’ll Learn in This Book: The Core Principles of Agentic AI – How it differs from rule-based AI, machine learning, and generative AI. The Three Waves of AI Evolution – From symbolic AI to full autonomy and proactive AI decision-making. How Agentic AI Uses Big Data – Enhancing real-time analytics, automation, and business intelligence. AI-Powered Business & Automation – How AI is transforming finance, customer service, and operations. Ethical Challenges & AI Governance – Addressing AI bias, transparency, and regulatory frameworks. Industry Trends & Future AI Innovations – How AI is shaping smart cities, cybersecurity, and scientific discovery. Career Growth & Wealth Creation with AI – AI-driven job opportunities, investments, and entrepreneurship. Hands-On AI Project Ideas – Real-world AI capstone projects and research applications.
Agentic Ai For Business
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Author : Vardhane Harsh
language : en
Publisher: Vardhane Harsh Studios
Release Date : 2025-06-30
Agentic Ai For Business written by Vardhane Harsh and has been published by Vardhane Harsh Studios this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Agentic AI isn’t your average software—it’s like a trusty employee who learns on the job, makes decisions, and gets better with time. Unlike traditional automation (think vending machines spitting out snacks), agentic AI can analyze data, adapt to changes, and handle tasks autonomously. For example, it can answer “Where’s my order?” emails with tracking links, suggest restocks based on sales trends, or personalize workout plans for gym members. The magic lies in its ability to think (well, sort of) and act without you micromanaging every step. For small businesses, agentic AI is a lifeline. It saves time, cuts costs, and boosts customer satisfaction without requiring a tech wizard on payroll. Whether you run a pizzeria, a boutique, or a gym, AI can handle repetitive tasks, leaving you free to focus on growth, creativity, or just taking a lunch break. And the best part? You don’t need to know code or own a server farm. Tools like Zapier, Make.com, or xAI’s Grok 3 (check out x.ai) make AI accessible to anyone with a laptop and a dream. This book will guide you from tech newbie to AI hero. With a sprinkle of humor to keep things light, real-world examples to inspire, and practical tips to get you started, we’ll set the stage for your AI adventure.
Agentic Ai For Beginners
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Author : Camila Jones
language : en
Publisher: Independently Published
Release Date : 2025-03-15
Agentic Ai For Beginners written by Camila Jones and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-15 with Computers categories.
Agentic AI for Beginners: A Practical Guide to Understanding and Leveraging Autonomous Systems is your essential roadmap into the transformative world of autonomous intelligence. This comprehensive guide demystifies the complex realm of agentic AI and offers clear, step-by-step instructions for implementing and harnessing its power-whether you're a tech professional, business leader, or curious newcomer. In this book, you'll discover the foundational concepts that underpin agentic AI, from basic definitions and sensor-to-action workflows to advanced neural network architectures and reinforcement learning techniques. Learn how to collect and preprocess high-quality data, train robust models, and optimize performance using cutting-edge tools like TensorFlow and PyTorch. Practical case studies, hands-on projects, and interactive exercises ensure that theoretical insights are seamlessly translated into real-world applications, empowering you to integrate AI into everything from manufacturing and marketing to customer service and operational efficiency. Beyond technical know-how, this book addresses the ethical, regulatory, and societal dimensions of AI. Explore strategies for mitigating bias, ensuring transparency, and aligning autonomous systems with human values, all while navigating the evolving landscape of privacy and governance. With detailed guidance on blending human judgment with machine intelligence, you'll learn how to build hybrid decision-making frameworks that enhance both innovation and accountability. Whether you're seeking to revolutionize your business strategy, improve workplace productivity, or simply stay ahead in a rapidly changing digital era, Agentic AI for Beginners offers the tools, techniques, and insights you need to lead the future of autonomous technology. Embrace the future of intelligent systems and unlock the potential of agentic AI to drive sustainable success in your professional and personal endeavors.
Neo4j The Definitive Guide
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Author : Luanne Misquitta
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2025-07-23
Neo4j The Definitive Guide written by Luanne Misquitta and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-23 with Computers categories.
Looking to improve the performance of Cypher queries or learn how to model graphs to support business use cases? A graph database like Neo4j can help. In fact, many enterprises are leveraging Neo4j to power their business-critical applications. This book offers practical and concise recipes on how and when to successfully leverage Neo4j into architectures. Authors Christophe Willemsen and Luanne Misquitta walk you through typical Neo4j implementation strategies from proof of concept to iterative improvements and, finally, to production readiness and beyond. By the end of this book, you should understand how to: Make practical decisions in the proof of concept stage to maximize value Revisit and revise your decisions when transitioning to production Configure and implement observability features for in-production data graphs Integrate graph databases into existing enterprise architectures
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 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 Purchase of the print or Kindle book includes a free PDF eBook 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 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.
Agentic Ai Principles And Practices For Ethical Governance
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Agentic Ai Principles And Practices For Ethical Governance 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.
Agentic AI: Principles and Practices for Ethical Governance presents a comprehensive framework for understanding, designing, and regulating artificial intelligence systems that exhibit agency—those capable of autonomous perception, reasoning, and action. The book explores foundational concepts such as machine intentionality, goal formation, and ethical reasoning, highlighting the unique challenges posed by AI systems that go beyond passive automation. Through a multidisciplinary lens, the text examines ethical principles including transparency, accountability, fairness, and human dignity, applying them to real-world scenarios across healthcare, finance, law, and military domains. It delves into the dynamics of human-AI interaction, control mechanisms like human-in-the-loop design, and the role of explainability in building trust. The design and engineering of agentic AI systems are analyzed through value-sensitive design, ethical simulation, and alignment strategies aimed at preventing issues like reward hacking or misaligned objectives. Governance models are laid out for ensuring safety, robustness, and adaptability, supported by global regulatory frameworks and policy instruments. A forward-looking section focuses on stakeholder co-design, scalable governance, and building a just and sustainable AI ecosystem. It argues for inclusive development, environmental responsibility, and democratic oversight, emphasizing the long-term social, ecological, and economic impacts of agentic systems. By integrating ethics, engineering, policy, and societal perspectives, the book offers a blueprint for steering agentic AI toward futures that respect human rights, foster global equity, and safeguard our shared planet. It is both a call to action and a roadmap for ethical innovation in the age of intelligent machines.
Artificial Intelligence Applications And Innovations
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Author : Ilias Maglogiannis
language : en
Publisher: Springer Nature
Release Date : 2025-06-23
Artificial Intelligence Applications And Innovations written by Ilias Maglogiannis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-23 with Computers categories.
This four-volume set constitutes the proceedings of the 21st IFIP WG 12.5 International Conference on Artificial Intelligence Applications and Innovations, AIAI 2025, which was held in Limassol, Cyprus, during June 2025. The 123 full papers and 7 short papers were presented in this volume were carefully reviewed and selected from 303 submissions. They focus on ethical-moral AI aspects related to its Environmental impact, Privacy, Transparency, Bias, Discrimination and Fairness.
Agentic Artificial Intelligence
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Author : Pascal Bornet
language : en
Publisher: Irreplaceable Publishing
Release Date : 2025-03-17
Agentic Artificial Intelligence written by Pascal Bornet and has been published by Irreplaceable Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Computers categories.
A practical, non-technical guide for business leaders, entrepreneurs, and curious minds "Agents are (…) bringing about the biggest revolution in computing since we went from typing commands to tapping on icons." — Bill Gates "AI agents will become the primary way we interact with computers in the future.” — Satya Nadella "The age of agentic AI is here"— Jensen Huang In a world where ChatGPT took us by storm, a far more powerful revolution is unfolding: AI Agents. Like Jarvis in Iron Man or Samantha in Her, these intelligent systems can execute actions, learn from experience, and orchestrate digital interactions with minimal human supervision. They promise to redefine business and society. However, behind the excitement lies a crucial reality: a significant gap between promise and reality. This comprehensive guide on agentic AI cuts through the hype and offers a clear, jargon-free strategic roadmap to understanding and applying this technology. The authors bring a rare perspective, having implemented agentic AI across diverse organizations—from global enterprises to agile startups—witnessing both remarkable successes and sobering failures. Through illuminating case studies and hands-on experiments, the authors reveal: - A step-by-step method for identifying high-value agentic opportunities and building impactful agents in your business, work, and personal life - The secrets behind today's most successful agentic transformations at scale: cutting costs by over 25% while boosting customer satisfaction by over 40% - Approaches to seize the new opportunities of the Agent Economy—new business models, Agentic-driven startups, rapid scaling, and game-changing revenue opportunities. - Hands-on guidance to navigate common pitfalls such as workflow integration, error handling, data quality, agent control, and user adoption - The new mindset and skills required to lead effectively in a world where humans and AI agents need to work seamlessly together The profound impact of agentic AI on society, employment, education, and our personal lives AI agents create what the authors call "compounding intelligence advantages"—the more they're used, the smarter they become, creating an accelerating gap between early adopters and laggards. Hence, those who understand and leverage AI agents today will define the next business era. The question isn’t whether AI agents will transform your industry—it’s how you will lead that change. Every revolution demands foresight and responsibility. This book challenges you to not just adopt agentic AI, but to shape it with purpose and integrity.
Data Driven Agentic Ai Integrating Data Science And Machine Learning
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Data Driven Agentic Ai Integrating Data Science And Machine Learning 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.
Data-Driven Agentic AI explores the emerging paradigm where autonomous agents interact with data, tools, and humans to solve complex problems across industries. Bridging the gap between data science, machine learning, and intelligent systems design, this book offers a detailed blueprint for building agentic AI that is autonomous, adaptive, and trustworthy. The book begins by grounding readers in the foundations of agency in artificial intelligence — defining key traits such as autonomy, goal orientation, and memory. It then builds into the architectural and technical elements required to create scalable and reliable agents, covering vector-based memory, tool integration, prompt orchestration, and multi-modal data pipelines. Key implementation frameworks like LangChain, AutoGen, and CrewAI are examined alongside infrastructure strategies for deploying agents in real-time, cloud-native environments. Extensive focus is placed on evaluation methodologies, debugging techniques, security, and compliance — equipping readers to monitor, align, and govern autonomous agents responsibly. Use cases span finance, healthcare, customer service, and robotics, demonstrating how agentic AI transforms industry practices. The final chapters explore collaborative human-agent interaction, ethical design, emergent behaviors, and decentralized multi-agent systems. A hands-on guide for practitioners concludes the book, detailing tools, workflows, and adoption roadmaps. Whether you're a data scientist, ML engineer, product leader, or researcher, this comprehensive guide delivers the theoretical grounding and practical insights to design and deploy intelligent, data-driven agents for the real world.