Practical Introduction To Ai Agents
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Practical Introduction To Ai Agents
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Author : Kumar P
language : en
Publisher: Independently Published
Release Date : 2024-12-20
Practical Introduction To Ai Agents written by Kumar P and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-20 with Computers categories.
In the rapidly evolving world of artificial intelligence (AI), the concept of intelligent agents has become a central focus in both academic research and industry applications. From self-driving cars to virtual assistants, AI agents are already changing the way we interact with technology. Yet, despite their increasing presence in our lives, understanding how these agents work and how to build them can be an intimidating challenge for beginners. This book, Practical Introduction to AI Agents: A Step-by-Step Practical Handbook for Beginners, aims to demystify the world of AI agents and provide a clear, accessible path for those looking to dive into this exciting field. Whether you're a student, a hobbyist, or a professional looking to upskill, this book is designed to offer a hands-on approach to learning, with practical examples and easy-to-follow steps that will enable you to grasp the core principles of AI agents and begin building your own. We begin with the foundational concepts of AI and intelligent agents, ensuring that you have a solid understanding of the underlying theories. From there, we explore key topics such as decision-making, problem-solving, machine learning, and reinforcement learning, all of which are essential for creating effective AI agents. Each chapter is structured to build on the last, providing you with a step-by-step guide to developing your own AI solutions. The goal of this book is not just to explain the theory behind AI agents but to empower you to create, experiment, and innovate. Along the way, you'll encounter practical challenges and exercises that will help you reinforce your learning and deepen your understanding of the material. By the end of this book, you will have the skills and confidence to build AI agents that can solve real-world problems. We believe that learning AI should be a rewarding and engaging experience, and we hope that this book serves as both an educational resource and an inspiration for your future projects. So, whether you're looking to start a career in AI or simply explore the field out of curiosity, we welcome you to embark on this journey and discover the world of AI agents. Welcome to the future of technology - it's yours to create.
Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act
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Author : Tejas Patthi
language : en
Publisher: Tejas Patthi
Release Date : 2025-06-30
Agentic Ai A Practical Guide To Build Agent Based Ai Systems That Think And Act written by Tejas Patthi and has been published by Tejas Patthi this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Build real-world AI systems that do more than just respond. They think, plan, and act with purpose. Agentic AI is a comprehensive, hands-on guide to building autonomous AI agents using Python, large language models (LLMs), LangGraph, CrewAI, FAISS, and other modern tools. Whether you are an AI developer, a machine learning engineer, or a tech enthusiast, this book will help you move beyond simple chatbots and prompt-based models into the advanced world of intelligent, agent-based systems that function independently and handle real tasks. In this step-by-step guide, you’ll learn how to build LLM-powered autonomous agents capable of reasoning, tool use, memory recall, and multi-step task execution. From integrating with real-world APIs to deploying production-ready agent workflows, you'll gain the skills to create powerful and reliable agentic AI systems using today's top frameworks and best practices. 🔍 What You Will Learn: How to build autonomous AI agents that work independently without constant human input How to create agents with long-term memory using vector databases like FAISS and Chroma How to orchestrate multi-agent systems using frameworks like LangGraph and CrewAI How to integrate AI with external tools, APIs, and web services How to use Python to script smart agent behaviors and decision-making logic How to deploy agentic systems in cloud environments or containers with live monitoring How to implement agent safety, performance testing, and real-time feedback loops 💡 Why This Book Is Different: This is not just another theoretical AI book. Agentic AI is a project-based, code-driven manual that gives you everything you need to: Build tool-using AI assistants, copilots, and multi-agent task managers Use LangChain, LangGraph, CrewAI, and LLM toolchains effectively Combine LLMs with real-time data, plugins, memory, and feedback systems Design and deploy goal-driven AI agents with full autonomy and context awareness Stay ahead in the fast-evolving field of agent-based AI and LLM integration 🧠 Tools and Technologies Covered: Python 3.x LangGraph & LangChain CrewAI & OpenAgents ChromaDB & FAISS for memory OpenAI, Claude, Gemini, HuggingFace APIs FastAPI, Docker, REST APIs, and Webhooks Autonomous task chaining, multi-agent routing, and smart tool use 📦 Who Should Read This Book? AI Engineers ready to move beyond static models Python Developers exploring LLMs and autonomous systems Tech founders building smart assistants and AI copilots Data Scientists interested in real-world AI deployment Prompt engineers ready to level up into full-stack AI workflows
Building Ai Agents With Llms Rag And Knowledge Graphs
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Author : Salvatore Raieli
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-07-11
Building Ai Agents With Llms Rag And Knowledge Graphs written by Salvatore Raieli 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 2025-07-11 with Computers categories.
Master LLM fundamentals to advanced techniques like RAG, reinforcement learning, and knowledge graphs to build, deploy, and scale intelligent AI agents that reason, retrieve, and act autonomously Key Features Implement RAG and knowledge graphs for advanced problem-solving Leverage innovative approaches like LangChain to create real-world intelligent systems Integrate large language models, graph databases, and tool use for next-gen AI solutions Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis AI agents book addresses the challenge of building AI that not only generates text but also grounds its responses in real data and takes action. Authored by AI specialists with deep expertise in drug discovery and systems optimization, this guide empowers you to leverage retrieval-augmented generation (RAG), knowledge graphs, and agent-based architectures to engineer truly intelligent behavior. By combining large language models (LLMs) with up-to-date information retrieval and structured knowledge, you'll create AI agents capable of deeper reasoning and more reliable problem-solving. Inside, you'll find a practical roadmap from concept to implementation. You’ll discover how to connect language models with external data via RAG pipelines for increasing factual accuracy and incorporate knowledge graphs for context-rich reasoning. The chapters will help you build and orchestrate autonomous agents that combine planning, tool use, and knowledge retrieval to achieve complex goals. Concrete Python examples built on popular libraries, along with real-world case studies, reinforce each concept and show you how these techniques come together. By the end of this book, you’ll be well-equipped to build intelligent AI agents that reason, retrieve, and interact dynamically, empowering you to deploy powerful AI solutions across industries.What you will learn Learn how LLMs work, their structure, uses, and limits, and design RAG pipelines to link them to external data Build and query knowledge graphs for structured context and factual grounding Develop AI agents that plan, reason, and use tools to complete tasks Integrate LLMs with external APIs and databases to incorporate live data Apply techniques to minimize hallucinations and ensure accurate outputs Orchestrate multiple agents to solve complex, multi-step problems Optimize prompts, memory, and context handling for long-running tasks Deploy and monitor AI agents in production environments Who this book is for If you are a data scientist or researcher who wants to learn how to create and deploy an AI agent to solve limitless tasks, this book is for you. To get the most out of this book, you should have basic knowledge of Python and Gen AI. This book is also excellent for experienced data scientists who want to explore state-of-the-art developments in LLM and LLM-based applications.
Ai Agents For Beginners
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Author : John Moses
language : en
Publisher: Independently Published
Release Date : 2025-05-02
Ai Agents For Beginners written by John Moses and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-02 with Computers categories.
Unleash the Power of AI: Your Ultimate Guide to Building and Using Autonomous AI Agents Interested in autonomous AI but don't know where to start? AI Agents for Beginners is your ultimate guide, covering everything you need to know to dive into the world of artificial intelligence. From the basic concepts to practical implementation, this comprehensive guide will walk you through every step of the process. Meet your guide in this journey: your own AI agent. You'll learn how to build and operate an autonomous AI agent from scratch, understand its intricate architecture, and apply these technologies to real-world problems. Each chapter is packed with practical information and hands-on examples that will make you comfortable in dealing with autonomous AI. Key Themes and Messages - Understanding AI Agents: Get to grips with the basics of AI agents and their role in artificial intelligence. - Building Your AI Agent: Follow step-by-step instructions to create your own autonomous AI agent. - Agent Architectures: Discover the different types of AI agent architectures and their applications. - Real-World Applications: Learn how to apply your newly acquired knowledge to solve real-world problems. This book isn't just about learning; it's about doing. By the end of it, you won't just understand autonomous AI - you'll be able to create and implement it yourself. It's perfect for beginners and intermediate developers looking to upskill in an increasingly AI-driven world. About the Author John Moses is a seasoned expert in artificial intelligence, with years of experience in NLP and AI. His passion for AI is evident in every page of this book, making complex concepts approachable for everyone.
The Rise Of Ai Agents
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Author : Dominic W. Rayner
language : en
Publisher: eBookIt.com
Release Date : 2025-04-10
The Rise Of Ai Agents written by Dominic W. Rayner and has been published by eBookIt.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-10 with Computers categories.
Revolutionize Your Industry with Cutting-Edge AI Insights In a world where technology is evolving at breakneck speed, staying ahead of the curve is no longer optional–it's imperative. The Rise of AI Agents: Industry-Specific Transformations provides a comprehensive guide to understanding and implementing AI innovations across a myriad of sectors. Whether you're in healthcare, finance, retail, or any of the diverse industries covered in this expansive tome, you're about to discover the transformative power of artificial intelligence tailored to your field. Dive into the intricacies of AI agents and the core technologies that power them as the book meticulously unpacks their potential to reshape your business landscape. Explore how AI is enhancing patient care and revolutionizing medical research, reimagining financial services with automated trading and savvy risk management, and personalizing shopping experiences while optimizing supply chains–that's just the beginning. Witness the future unfolding as AI drives intelligent automation on manufacturing floors, innovates logistics and supply chains, and fosters personalized learning environments in education. With AI crafting new realities in media, entertainment, human resources, and more, the opportunities are limitless. Each industry-specific chapter sheds light on AI applications that promise not only to enhance operational efficiency but also to innovate and inspire. Are you ready to harness the potential of AI in your industry? Equip yourself with actionable insights and practical strategies from this remarkable guide to ensure you're not just keeping pace with change–you're leading it. Envision the impact AI can have on your business and embrace a future replete with technological triumphs. Step confidently into a new era where AI isn't just a tool but a trusted partner in innovation and success.
Ai Agents In Practice
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Author : Valentina Alto
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-28
Ai Agents In Practice written by Valentina Alto 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 2025-08-28 with Computers categories.
Master the art of building AI agents with this hands-on guide to orchestration, multi-agent systems, real-world case studies, and ethical insights to drive immediate business impact Key Features Build production-ready AI agents with hands-on tutorials for diverse industry applications Explore multi-agent system architectures with practical frameworks for orchestrator comparison Future-proof your AI development with ethical implementation strategies and security patterns Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionAs AI agents evolve to take on complex tasks and operate autonomously, you need to learn how to build these next-generation systems. Author Valentina Alto brings practical, industry-grounded expertise in AI Agents in Practice to help you go beyond simple chatbots and create AI agents that plan, reason, collaborate, and solve real-world problems using large language models (LLMs) and the latest open-source frameworks. In this book, you'll get a comparative tour of leading AI agent frameworks such as LangChain and LangGraph, covering each tool's strengths, ideal use cases, and how to apply them in real-world projects. Through step-by-step examples, you’ll learn how to construct single-agent and multi-agent architectures using proven design patterns to orchestrate AI agents working together. Case studies across industries will show you how AI agents drive value in real-world scenarios, while guidance on responsible AI will help you implement ethical guardrails from day one. The chapters also set the stage with a brief history of AI agents, from early rule-based systems to today's LLM-driven autonomous agents, so you understand how we got here and where the field is headed. By the end of this book, you'll have the practical skills, design insights, and ethical foresight to build and deploy AI agents that truly make an impact.What you will learn Build core agent components such as LLMs, memory systems, tool integration, and context management Develop production-ready AI agents using frameworks such as LangChain with code Create effective multi-agent systems using orchestration patterns for problem-solving Implement industry-specific agents for e-commerce, customer support, and more Design robust memory architectures for agents with short- and long-term recall Apply responsible AI practices with monitoring, guardrails, and human oversight Optimize AI agent performance and cost for production environments Who this book is for This book is ideal for AI engineers and data scientists looking to move beyond basic LLM implementations to build sophisticated autonomous agents. Software developers and system architects will find practical guidelines for integrating agents into existing tech stacks. Product managers and technical entrepreneurs will gain strategic insights into how AI agents can solve business problems across industries. A basic understanding of machine learning concepts and working knowledge of Python are required to make the most of this book and implement production-ready AI agent systems.
Practical Introduction To Collaborative Ai Agents And Bots
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Author : Pandey J
language : en
Publisher: Independently Published
Release Date : 2025-01-31
Practical Introduction To Collaborative Ai Agents And Bots written by Pandey J and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-31 with Technology & Engineering categories.
In today's rapidly evolving technological landscape, the potential of artificial intelligence (AI) to revolutionize how we approach and solve complex problems is undeniable. Across industries such as healthcare, finance, telecommunications, and beyond, AI agents and bots are driving innovation, transforming operations, and enhancing decision-making processes. But while these technologies are powerful, the real magic happens when they work together. Collaborative AI agents and bots, when harnessed effectively, can complement each other's strengths to tackle problems that would be nearly impossible for a single entity to solve alone. This book, Practical Introduction to Collaborative AI Agents and Bots for end-to-end Solutions to Complex Problems: A Step-by-Step Practical Handbook for Beginners using Python, is written for those who wish to explore and understand the collaborative nature of AI in problem-solving. Whether you are a beginner, data scientist, AI enthusiast, or a developer with a keen interest in AI systems, this book will serve as a practical guide to designing, developing, and implementing collaborative AI agents and bots that can work in harmony to address intricate challenges. The need for collaborative intelligence is growing exponentially. AI agents specialize in different domains, and bots are designed to automate specific tasks. By combining them in strategic ways, we can tackle problems that involve massive data sets, dynamic environments, or human-like decision-making, which would otherwise be too complex for traditional methods. Throughout this book, you will find a comprehensive, hands-on approach to understanding and building collaborative AI solutions using Python. Each chapter focuses on providing clear, step-by-step instructions to help you understand how to implement AI agents and bots that communicate, share knowledge, and work towards common goals. From simple automation tasks to solving real-world challenges, we will explore techniques and best practices that you can immediately apply in your own projects. The power of AI agents and bots lies not only in their individual capabilities but in their ability to collaborate intelligently, exchanging information and improving outcomes. By the end of this book, you will have the knowledge and skills to design and implement sophisticated, collaborative AI systems that can solve real-world problems with confidence. Whether you're a beginner starting your AI journey or an experienced practitioner looking to enhance your skill set, this book will empower you to leverage collaborative AI agents and bots as tools for solving the complex challenges of tomorrow. Welcome to the future of AI collaboration.
Developing Intelligent Agent Systems
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Author : Lin Padgham
language : en
Publisher: John Wiley & Sons
Release Date : 2005-06-24
Developing Intelligent Agent Systems written by Lin Padgham and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-06-24 with Technology & Engineering categories.
Build your own intelligent agent system... Intelligent agent technology is a tool of modern computer science that can be used to engineer complex computer programmes that behave rationally in dynamic and changing environments. Applications range from small programmes that intelligently search the Web buying and selling goods via electronic commerce, to autonomous space probes. This powerful technology is not widely used, however, as developing intelligent agent software requires high levels of training and skill. The authors of this book have developed and tested a methodology and tools for developing intelligent agent systems. With this methodology (Prometheus) developers can start agent-oriented designs and implementations easily from scratch saving valuable time and resources. Developing Intelligent Agent Systems not only answers the questions “what are agents?” and “why are they useful?” but also the crucial question: “how do I design and build intelligent agent systems?” The book covers everything a practitioner needs to know to begin to effectively use this technology - including an introduction to the notion of agents, a description of the concepts involved, and a software engineering methodology. Read on for: a practical step-by-step introduction to designing and building intelligent agent systems. a full life-cycle methodology for developing intelligent agent systems covering specification, analysis, design and implementation of agents. PDT: Prometheus Design Tool – software support for the Prometheus design process. the example of an electronic bookstore to illustrate the design process throughout the book. Electronic resources including the Prometheus Design Tool (PDT), can be found at: http://www.cs.rmit.edu.au/agents/prometheus This book is aimed at industrial software developers, software engineers and at advanced undergraduate students. It assumes knowledge of basic software engineering but does not require knowledge of Artificial Intelligence or of mathematics. Familiarity with Java will help in reading the examples in chapter 10.
Ai Agents For Everyone
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Author : Fouad Bousetouane
language : en
Publisher: Independently Published
Release Date : 2025-04-30
Ai Agents For Everyone written by Fouad Bousetouane and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.
AI Agents for Everyone - A Practical Guide to Building and Understanding AI Agents Without Complexity Recent advances in generative AI and large language models (LLMs) have paved the way for a new era of intelligent systems-AI agents that not only generate content but reason, plan, and take autonomous actions. As AI capabilities grow, the opportunity to design, build, and work alongside these agents is no longer reserved for AI specialists; it's accessible to everyone. AI Agents for Everyone introduces readers to the exciting new field of agent-based AI systems, providing a practical foundation for understanding and building AI agents without overwhelming complexity. This book begins by explaining the evolution from traditional AI models to AI agents, highlighting the critical differences between passive content generation and autonomous task completion. It presents a business-centered and practical view of how AI agents are being designed, built, and deployed today across industries including healthcare, education, finance, and customer service. As AI agents become more deeply integrated into daily operations and decision-making processes, understanding their capabilities and limitations is essential. This book addresses the core building blocks of agents-reasoning, planning, tool use, memory, and autonomy-along with emerging best practices for responsible deployment. Readers will learn: How generative AI and LLMs form the foundation of agent behavior The key differences between traditional chatbots and autonomous AI agents A step-by-step framework for defining, designing, building, and deploying AI agents Advanced prompting techniques to guide an agent's actions effectively across tasks How to uncover and understand the human-augmented general-purpose agent architecture powering leading platforms like DeepSeek and ChatGPT Common use cases and agent patterns across real-world applications Introduction to agent frameworks, prompt design, memory handling, and multi-agent collaboration Risks, ethical considerations, and guidelines for building responsible AI systems How AI agents will reshape workflows, industries, and future career paths AI Agents for Everyone is written for business professionals, engineers new to AI, innovators, and curious learners who want a clear, actionable understanding of this new frontier. No prior experience in AI, programming, or machine learning is required-only curiosity and a readiness to engage with the future. Throughout the book, Dr. Fouad Bousetouane, a distinguished AI leader, shares insights drawn from real-world applications, providing readers with not only foundational knowledge but also a forward-looking perspective on where AI agents are heading. Whether you are seeking to integrate AI agents into business processes, enhance your technical skill set, or simply understand the forces shaping tomorrow's intelligent systems, this guide offers the clarity, structure, and practical advice you need.
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.