Ai Agents In Practice
DOWNLOAD
Download Ai Agents In Practice PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Ai Agents In Practice book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Ai Agents In Practice
DOWNLOAD
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.
Agent Technology
DOWNLOAD
Author : Nick Jennings
language : en
Publisher: Springer Science & Business Media
Release Date : 1998
Agent Technology written by Nick Jennings 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 1998 with Business & Economics categories.
Agents are autonomous problem-solving software programs that are able to perform tasks in complex, dynamic environments, without receiving permanent guidance from the user. This is the first book on agents geared towards a wide audience of both agent developers and software developers. Written by the leading authorities in the field, the book introduces the technical foundations and reviews how agents are being -- and will be -- used on a daily basis.
Ai Agents In Practice
DOWNLOAD
Author : HESHAM MOHAMED. ELSHERIF
language : en
Publisher: Eldonusa
Release Date : 2025-05-15
Ai Agents In Practice written by HESHAM MOHAMED. ELSHERIF and has been published by Eldonusa this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-15 with Computers categories.
Artificial Intelligence (AI) is no longer a concept bound to the pages of science fiction or limited to research laboratories. Today, AI permeates our daily lives-from smart assistants guiding us through our day, autonomous vehicles navigating complex environments, to advanced systems managing critical operations in industries like healthcare, finance, and logistics. At the heart of these intelligent systems are AI agents, entities designed to perceive their environment, make decisions, and act autonomously to achieve specific goals. Yet, despite the proliferation and evident benefits of AI agents, there's often a substantial gap between theoretical concepts and practical implementation. This gap leaves many students, developers, and even experienced practitioners struggling to translate theoretical knowledge into functional, deployable solutions. "AI Agents in Practice: Concepts, Code, and Deployment" is specifically crafted to bridge this divide. It offers a clear, step-by-step journey that begins with fundamental concepts, progresses through detailed hands-on implementation, and culminates in professional-level deployment strategies. Our goal is not just to inform but to empower you to build, deploy, and manage AI agents confidently, regardless of whether you're a beginner, an intermediate developer, or a seasoned professional looking to sharpen your skills. To ensure accessibility, this book assumes only basic familiarity with programming and a general understanding of algorithms. It methodically builds your skills and confidence, combining clarity in explanation with hands-on coding exercises, practical deployment examples, and professional best practices. Whether your aim is to deepen your professional expertise, to pioneer innovations, or simply to better understand the rapidly evolving world of AI, this book serves as your practical guide, equipping you with the knowledge and tools needed to thrive in a future increasingly defined by intelligent systems.
An Introduction To Multiagent Systems
DOWNLOAD
Author : Michael Wooldridge
language : en
Publisher: John Wiley & Sons
Release Date : 2009-06-22
An Introduction To Multiagent Systems written by Michael Wooldridge 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 2009-06-22 with Computers categories.
The study of multi-agent systems (MAS) focuses on systems in which many intelligent agents interact with each other. These agents are considered to be autonomous entities such as software programs or robots. Their interactions can either be cooperative (for example as in an ant colony) or selfish (as in a free market economy). This book assumes only basic knowledge of algorithms and discrete maths, both of which are taught as standard in the first or second year of computer science degree programmes. A basic knowledge of artificial intelligence would useful to help understand some of the issues, but is not essential. The book’s main aims are: To introduce the student to the concept of agents and multi-agent systems, and the main applications for which they are appropriate To introduce the main issues surrounding the design of intelligent agents To introduce the main issues surrounding the design of a multi-agent society To introduce a number of typical applications for agent technology After reading the book the student should understand: The notion of an agent, how agents are distinct from other software paradigms (e.g. objects) and the characteristics of applications that lend themselves to agent-oriented software The key issues associated with constructing agents capable of intelligent autonomous action and the main approaches taken to developing such agents The key issues in designing societies of agents that can effectively cooperate in order to solve problems, including an understanding of the key types of multi-agent interactions possible in such systems The main application areas of agent-based systems
Artificial Intelligence In Practice
DOWNLOAD
Author : Bernard Marr
language : en
Publisher: John Wiley & Sons
Release Date : 2019-04-15
Artificial Intelligence In Practice written by Bernard Marr 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 2019-04-15 with Comics & Graphic Novels categories.
Cyber-solutions to real-world business problems Artificial Intelligence in Practice is a fascinating look into how companies use AI and machine learning to solve problems. Presenting 50 case studies of actual situations, this book demonstrates practical applications to issues faced by businesses around the globe. The rapidly evolving field of artificial intelligence has expanded beyond research labs and computer science departments and made its way into the mainstream business environment. Artificial intelligence and machine learning are cited as the most important modern business trends to drive success. It is used in areas ranging from banking and finance to social media and marketing. This technology continues to provide innovative solutions to businesses of all sizes, sectors and industries. This engaging and topical book explores a wide range of cases illustrating how businesses use AI to boost performance, drive efficiency, analyse market preferences and many others. Best-selling author and renowned AI expert Bernard Marr reveals how machine learning technology is transforming the way companies conduct business. This detailed examination provides an overview of each company, describes the specific problem and explains how AI facilitates resolution. Each case study provides a comprehensive overview, including some technical details as well as key learning summaries: Understand how specific business problems are addressed by innovative machine learning methods Explore how current artificial intelligence applications improve performance and increase efficiency in various situations Expand your knowledge of recent AI advancements in technology Gain insight on the future of AI and its increasing role in business and industry Artificial Intelligence in Practice: How 50 Successful Companies Used Artificial Intelligence to Solve Problems is an insightful and informative exploration of the transformative power of technology in 21st century commerce.
Ai Agents In Practice
DOWNLOAD
Author : VALENTINA. ALTO
language : en
Publisher:
Release Date : 2025
Ai Agents In Practice written by VALENTINA. ALTO and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Generative Ai Agent In Practice
DOWNLOAD
Author : Clifford C Sowders
language : en
Publisher: Independently Published
Release Date : 2025-06-25
Generative Ai Agent In Practice written by Clifford C Sowders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-25 with Computers categories.
Generative AI Agent in Practice: A Developer's Guide to Building Intelligent, Self-Learning Assistants with LangChain and Transformers Are you ready to move beyond chatbots and start building real, intelligent agents? Imagine transforming your codebase into a dynamic, problem-solving assistant-one that can search, reason, interact with APIs, and adapt to new data automatically. In a world powered by generative AI, mastering these next-generation tools isn't just an advantage-it's essential. This book is your hands-on blueprint for building production-ready AI agents. Inside, you'll discover step-by-step guides for deploying agents that truly understand, remember, and act. From environment setup to advanced multi-agent workflows, every chapter delivers concise explanations, practical code, and expert insights drawn from real-world deployments. What sets this guide apart? End-to-End Workflows: Learn to build, test, and scale agents using proven frameworks like LangChain and Hugging Face Transformers. Retrieval-Augmented Generation (RAG): Combine semantic search, vector databases, and custom tools for agents that go beyond static knowledge. Prompt Engineering and Memory: Master the art of reusable prompt templates, context management, and versioning for reliable, robust performance. Tool and API Integration: Empower your agents to search the web, process files, call custom APIs, and automate entire workflows. Observability and Security: Gain production confidence with strategies for logging, monitoring, error handling, and security best practices. Practical Case Studies: Follow real-world examples, from customer support bots to developer assistants, that illustrate both pitfalls and successes. Are you building for the future of AI? Whether you're an engineer, data scientist, or AI enthusiast, this guide gives you a toolkit you can use today-no theory without code, and no code without real use cases. Take the next step: Supercharge your development workflow, launch smarter assistants, and future-proof your AI skill set. Grab your copy of "Generative AI Agent in Practice" and start building intelligent, self-learning agents that make a real impact.
Artificial Intelligence In Behavioral And Mental Health Care
DOWNLOAD
Author : David D. Luxton
language : en
Publisher: Academic Press
Release Date : 2015-09-10
Artificial Intelligence In Behavioral And Mental Health Care written by David D. Luxton and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-09-10 with Psychology categories.
Artificial Intelligence in Behavioral and Mental Health Care summarizes recent advances in artificial intelligence as it applies to mental health clinical practice. Each chapter provides a technical description of the advance, review of application in clinical practice, and empirical data on clinical efficacy. In addition, each chapter includes a discussion of practical issues in clinical settings, ethical considerations, and limitations of use. The book encompasses AI based advances in decision-making, in assessment and treatment, in providing education to clients, robot assisted task completion, and the use of AI for research and data gathering. This book will be of use to mental health practitioners interested in learning about, or incorporating AI advances into their practice and for researchers interested in a comprehensive review of these advances in one source. - Summarizes AI advances for use in mental health practice - Includes advances in AI based decision-making and consultation - Describes AI applications for assessment and treatment - Details AI advances in robots for clinical settings - Provides empirical data on clinical efficacy - Explores practical issues of use in clinical settings
Designing Autonomous Ai
DOWNLOAD
Author : Kence Anderson
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2022-06-14
Designing Autonomous Ai written by Kence Anderson 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 2022-06-14 with Computers categories.
Early rules-based artificial intelligence demonstrated intriguing decision-making capabilities but lacked perception and didn't learn. AI today, primed with machine learning perception and deep reinforcement learning capabilities, can perform superhuman decision-making for specific tasks. This book shows you how to combine the practicality of early AI with deep learning capabilities and industrial control technologies to make robust decisions in the real world. Using concrete examples, minimal theory, and a proven architectural framework, author Kence Anderson demonstrates how to teach autonomous AI explicit skills and strategies. You'll learn when and how to use and combine various AI architecture design patterns, as well as how to design advanced AI without needing to manipulate neural networks or machine learning algorithms. Students, process operators, data scientists, machine learning algorithm experts, and engineers who own and manage industrial processes can use the methodology in this book to design autonomous AI. This book examines: Differences between and limitations of automated, autonomous, and human decision-making Unique advantages of autonomous AI for real-time decision-making, with use cases How to design an autonomous AI from modular components and document your designs
Prima 2024 Principles And Practice Of Multi Agent Systems
DOWNLOAD
Author : Ryuta Arisaka
language : en
Publisher: Springer Nature
Release Date : 2024-11-16
Prima 2024 Principles And Practice Of Multi Agent Systems written by Ryuta Arisaka and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-16 with Computers categories.
This book constitutes the refereed proceedings of the 25th International Conference on Principles and Practice of Multi-Agent Systems, PRIMA 2024, held in Kyoto, Japan, during November 18–24, 2024. The 23 full papers and 10 short papers presented in this volume were carefully reviewed and selected from 76 submissions. They are organized in the following topical sections: coordination and cooperation; market approaches; logics; learning; agent-based modelling and simulation; computational social choice.