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.
Introduction To Ai Agents
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Author : Kaelix Draven
language : en
Publisher: Independently Published
Release Date : 2025-04-29
Introduction To Ai Agents written by Kaelix Draven and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-29 with Computers categories.
What exactly is an AI agent? Why do some of them feel smarter than your coworkers, and others can't even figure out how to turn off your living room lights? Welcome to Introduction to AI Agents: Concepts, Types, and Applications-your friendly, slightly sarcastic, surprisingly deep dive into the wild world of intelligent systems that see, think, act, and (sometimes) get confused by the word "weather." This isn't just another dry tech manual. Think of this book as the orientation packet for anyone who wants to truly understand the minds behind machines-told in a way that doesn't make your brain want to stage a walkout. We're breaking down everything from reflex agents and goal-based thinkers to belief systems, decision-making, and how agents survive in environments that are about as predictable as a toddler on espresso. Inside, you'll learn: What makes an agent "intelligent" (and when it's just pretending) How agents interact with their environment-and why they sometimes fail hilariously The difference between simple rule-followers and full-blown learning systems What makes a good architecture for an agent (spoiler: not duct tape) The ethical rabbit holes we tumble into when AI starts making decisions Real-world applications that go beyond "Hey Siri" and into industries like healthcare, robotics, finance, and more Whether you're an AI beginner, a developer ready to dive into agent design, or just someone who wants to sound smart at parties, this book is designed for you. It's the first stop in the Mastering AI Agents: From Theory to Deployment series-a guided journey from foundational theory to full-fledged deployment of AI-powered systems. And trust me, you'll want to stick around. Here's where the path leads next: Building AI Agents with Python: A Hands-on Guide - Code your own digital brain without losing your mind Reinforcement Learning for AI Agents: Training Intelligent Systems - Teach your agents the art of learning from glorious failure Multi-Agent Systems: Coordination, Communication, and Collaboration - What happens when you throw a bunch of agents into a room and tell them to get along AI Agents in the Real World - From smart homes to city-wide systems, this is where the action is And yes, we go niche: AI Agents for Automation, Robotics, Finance, Cybersecurity, and Healthcare-because agents are everywhere now If you've ever wanted to peek inside the mind of an intelligent system, build your own, or just understand what's really going on behind the algorithm, this book will get you there-with clarity, humor, and enough real-world relevance to keep you hooked. So whether you're building the future or just trying to outsmart your smart toaster, consider this your invitation into the world of AI agents. Let's make it smart, make it ethical, and-most importantly-make it fun.
Introduction To Ai Safety Ethics And Society
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Author : Dan Hendrycks
language : en
Publisher: CRC Press
Release Date : 2024-12-31
Introduction To Ai Safety Ethics And Society written by Dan Hendrycks and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-31 with Computers categories.
As AI technology is rapidly progressing in capability and being adopted more widely across society, it is more important than ever to understand the potential risks AI may pose and how AI can be developed and deployed safely. Introduction to AI Safety, Ethics, and Society offers a comprehensive and accessible guide to this topic. This book explores a range of ways in which societies could fail to harness AI safely in coming years, such as malicious use, accidental failures, erosion of safety standards due to competition between AI developers or nation-states, and potential loss of control over autonomous systems. Grounded in the latest technical advances, this book offers a timely perspective on the challenges involved in making current AI systems safer. Ensuring that AI systems are safe is not just a problem for researchers in machine learning – it is a societal challenge that cuts across traditional disciplinary boundaries. Integrating insights from safety engineering, economics, and other relevant fields, this book provides readers with fundamental concepts to understand and manage AI risks more effectively. This is an invaluable resource for upper-level undergraduate and postgraduate students taking courses relating to AI Safety & Alignment, AI Ethics, AI Policy, and the Societal Impacts of AI, as well as anyone trying to better navigate the rapidly evolving landscape of AI safety.
Ai Agents For Beginners
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Author : Gerald Oswald
language : en
Publisher: Independently Published
Release Date : 2025-04-17
Ai Agents For Beginners written by Gerald Oswald and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-17 with Computers categories.
AI agents for beginners - A practice-oriented introduction Artificial intelligence (AI) is developing at a rapid pace and revolutionizing many areas of our lives. This book offers a comprehensive introduction to the development, functionality and applications of AI agents that are used in a variety of areas - from chatbots and voice assistants to autonomous vehicles and industrial automation systems. Main content: ✅ Basics and architecture of AI agents: Introduction to different types of agents - from simple reactive systems to learning-capable, autonomous agents. ✅ Technological basis: Overview of machine learning, deep learning, reinforcement learning and knowledge-based systems. ✅ Practical applications: Use of AI agents in smart homes, finance, medicine, Industry 4.0, autonomous driving and more. ✅ Tools and frameworks: Introduction to important development platforms such as TensorFlow, PyTorch, OpenAI Gym, Rasa, JADE and cloud AI services. ✅ Challenges and ethical issues: Discussion of transparency, bias, security and regulation of AI agents. ✅ Future developments and visions: Where is AI agent technology heading? From multimodal agents to fully autonomous systems to possible superintelligences. The book is aimed at both beginners and professionals who want to learn about AI agents, their development and their influence on business and society. It offers a practical and well-founded introduction and an outlook on the future of intelligent agent systems. Whether as a theoretical basis or a guide for practice - this book provides the knowledge needed to understand, develop and use AI agents responsibly.
Introduction To Artificial Intelligence
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Author : Mr. Rohit Manglik
language : en
Publisher: EduGorilla Publication
Release Date : 2024-07-28
Introduction To Artificial Intelligence written by Mr. Rohit Manglik and has been published by EduGorilla Publication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-28 with Computers categories.
EduGorilla Publication is a trusted name in the education sector, committed to empowering learners with high-quality study materials and resources. Specializing in competitive exams and academic support, EduGorilla provides comprehensive and well-structured content tailored to meet the needs of students across various streams and levels.
Intro Guide To Concept Of Ai Agent
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Author : Barron Wilson
language : en
Publisher: Estalontech
Release Date : 2025-06-06
Intro Guide To Concept Of Ai Agent written by Barron Wilson and has been published by Estalontech this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.
So you want to know what AI agents are all about? Great! Think of this as your friendly, easy-to-digest intro to one of the most exciting trends in tech today — no jargon, no complicated theories, just simple ideas and real-world examples. An AI Agent isn’t just a chatbot or a bot that follows strict rules. It’s more like a smart assistant that can understand your goals, make plans, use tools, and even adapt when things don’t go as expected. Imagine telling an AI: “Find me the best flight to London next week,” and it actually figures out how to do that using different websites, compares prices, checks for availability, and books it — all on its own. That’s the power of an AI agent. This guide breaks everything down into bite-sized pieces so anyone can understand. You’ll learn: What makes an AI agent different from regular bots How they work behind the scenes — think of them having a brain (powered by large language models), a toolkit (like APIs, apps, databases), memory, and a rulebook (your instructions). Real-life examples , like AI assistants handling customer service or helping coders debug software. How to start experimenting with automation using visual tools like n8n, Zapier, or Make — no coding required! Important safety tips — because building smart systems also means thinking about ethics, privacy, and responsibility. One of the coolest parts is seeing how multiple AI agents can work together like a team. Just like humans divide up tasks, AI agents can split up complex problems, help each other out, and get things done faster and smarter. The guide also gives you a peek into the future — where you can start building your own AI agents using development kits from big companies like Google. But here’s the key advice: start simple . Don’t jump into complex systems unless you really need to. Often, a clear instruction or a basic workflow is all you need. And if you're inspired and want to go further, the book recommends diving into "AI Agents Made Easy" — a hands-on guide to building your own digital helpers using no-code tools. In short, this pocket guide is perfect for beginners who want to understand AI agents, see how they can change the way we work, and take the first step toward building their own. Whether you're a business owner, student, or just plain curious, this is your doorway into the future of AI — and it's already here.
Hands On Intelligent Agents With Openai Gym
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Author : Praveen Palanisamy
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-07-31
Hands On Intelligent Agents With Openai Gym written by Praveen Palanisamy 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 2018-07-31 with Computers categories.
Implement intelligent agents using PyTorch to solve classic AI problems, play console games like Atari, and perform tasks such as autonomous driving using the CARLA driving simulator Key Features Explore the OpenAI Gym toolkit and interface to use over 700 learning tasks Implement agents to solve simple to complex AI problems Study learning environments and discover how to create your own Book Description Many real-world problems can be broken down into tasks that require a series of decisions to be made or actions to be taken. The ability to solve such tasks without a machine being programmed requires a machine to be artificially intelligent and capable of learning to adapt. This book is an easy-to-follow guide to implementing learning algorithms for machine software agents in order to solve discrete or continuous sequential decision making and control tasks. Hands-On Intelligent Agents with OpenAI Gym takes you through the process of building intelligent agent algorithms using deep reinforcement learning starting from the implementation of the building blocks for configuring, training, logging, visualizing, testing, and monitoring the agent. You will walk through the process of building intelligent agents from scratch to perform a variety of tasks. In the closing chapters, the book provides an overview of the latest learning environments and learning algorithms, along with pointers to more resources that will help you take your deep reinforcement learning skills to the next level. What you will learn Explore intelligent agents and learning environments Understand the basics of RL and deep RL Get started with OpenAI Gym and PyTorch for deep reinforcement learning Discover deep Q learning agents to solve discrete optimal control tasks Create custom learning environments for real-world problems Apply a deep actor-critic agent to drive a car autonomously in CARLA Use the latest learning environments and algorithms to upgrade your intelligent agent development skills Who this book is for If you’re a student, game/machine learning developer, or AI enthusiast looking to get started with building intelligent agents and algorithms to solve a variety of problems with the OpenAI Gym interface, this book is for you. You will also find this book useful if you want to learn how to build deep reinforcement learning-based agents to solve problems in your domain of interest. Though the book covers all the basic concepts that you need to know, some working knowledge of Python programming language will help you get the most out of it.
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.
Intelligent Agents Ii Agent Theories Architectures And Languages
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Author : Michael J. Wooldridge
language : en
Publisher: Springer Science & Business Media
Release Date : 1996
Intelligent Agents Ii Agent Theories Architectures And Languages written by Michael J. Wooldridge and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Artificial intelligence categories.
This book is based on the second International Workshop on Agent Theories, Architectures, and Languages, held in conjunction with the International Joint Conference on Artificial Intelligence, IJCAI'95 in Montreal, Canada in August 1995. The 26 papers are revised final versions of the workshop presentations selected from a total of 54 submissions; also included is a comprehensive introduction, a detailed bibliography listing 355 relevant publications, and a subject index. The book is structured into seven sections, reflecting the most current major directions in agent-related research. Together with its predecessor, Intelligent Agents, published as volume 890 in the LNAI series, this book provides a timely and comprehensive state-of-the-art report.
Ai Agents In Action
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Author : Micheal Lanham
language : en
Publisher: Simon and Schuster
Release Date : 2025-03-25
Ai Agents In Action written by Micheal Lanham and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-25 with Computers categories.
In AI Agents in Action, you'll learn how to build production-ready assistants, multi-agent systems, and behavioral agents. You'll master the essential parts of an agent, including retrieval-augmented knowledge and memory, while you create multi-agent applications that can use software tools, plan tasks autonomously, and learn from experience. As you explore the many interesting examples, you'll work with state-of-the-art tools like OpenAI Assistants API, GPT Nexus, LangChain, Prompt Flow, AutoGen, and CrewAI.