Ai Agents A Developers Guide To Building Ai Agents That Reason A Practical Guide To Building And Understanding Ai Agents Without Complexity
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Ai Agents A Developers Guide To Building Ai Agents That Reason A Practical Guide To Building And Understanding Ai Agents Without Complexity
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Author : Russell Tirado
language : en
Publisher: Russell Tirado
Release Date : 101-01-01
Ai Agents A Developers Guide To Building Ai Agents That Reason A Practical Guide To Building And Understanding Ai Agents Without Complexity written by Russell Tirado and has been published by Russell Tirado this book supported file pdf, txt, epub, kindle and other format this book has been release on 101-01-01 with Computers categories.
Ai agents are reshaping the digital landscape, powering everything from autonomous cars to conversational assistants. Built on advancements in machine learning, deep learning, and reinforcement learning, these intelligent systems interpret data, make decisions, and perform complex tasks autonomously. The technology behind ai agents is at the heart of this revolution, enabling us to automate, optimize, and scale solutions across industries like healthcare, finance, retail, and beyond. Ai agents, including: • Understanding the evolution of ai from static models to autonomous agents • Differentiating between traditional chatbots and intelligent ai agents • Mastering a structured approach to designing and building ai agents • Applying advanced prompting techniques to guide agent behavior effectively • Exploring real-world applications across industries such as healthcare, education, finance, and customer service • Grasping the critical building blocks of ai agents, including memory management, tool use, and multi-agent collaboration This book is your shortcut to the future of work. Designed for beginners, non-techies, creators, students, and busy entrepreneurs, simplified ai agents playbook for beginners demystifies cutting-edge agent ai tools and shows you exactly how to use them—step by step. From setting up your first ai assistant to automating content creation, managing schedules, handling emails, or answering faqs, this playbook gives you real-world use cases, no-code tools, and hands-on projects to apply instantly.
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.
Build Your Own Ai Agent A Hands On Guide For Beginners
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Author : SujAI G PillAI
language : en
Publisher: One Library Per Village
Release Date :
Build Your Own Ai Agent A Hands On Guide For Beginners written by SujAI G PillAI and has been published by One Library Per Village this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Build Your Own AI Agent: A Hands-On Guide for Beginners Unlock the Power of AI and Create Intelligent Systems from Scratch! Step into the exciting world of Artificial Intelligence and unleash your creativity with "Build Your Own AI Agent: A Hands-On Guide for Beginners." Whether you're a student, educator, tech enthusiast, or complete beginner, this book simplifies the complex world of AI and transforms it into an engaging, practical, and rewarding learning experience. 🚀 Why This Book? AI is revolutionizing industries, reshaping technology, and opening up endless possibilities. Why just use AI when you can create it? This book empowers you to design, build, and deploy your own AI-powered agents with step-by-step guidance, real-world applications, and hands-on projects. No prior programming experience? No problem! This beginner-friendly guide will take you from absolute basics to building AI that interacts, learns, and solves problems. What You’ll Discover Inside: ✅ Master AI Fundamentals: Learn the core concepts of machine learning, neural networks, and natural language processing (NLP) in a simple, easy-to-understand manner. ✅ Build Real AI Projects: Follow clear, structured step-by-step tutorials to create AI chatbots, virtual assistants, and intelligent automation systems. ✅ Beginner-Friendly Tools & Frameworks: Work with powerful yet accessible tools such as Python, TensorFlow, OpenAI, and conversational AI platforms to bring your AI ideas to life. ✅ Advance with Confidence: Dive deeper into topics like training AI models, optimizing performance, and deploying AI applications in real-world scenarios. ✅ Ethical AI & Responsibility: Explore the crucial topics of AI fairness, inclusivity, and ethical considerations to ensure responsible innovation. Who Should Read This Book? 🔹 Aspiring AI Developers & Enthusiasts: If you've always wanted to create AI systems but didn’t know where to start, this book is your gateway to success. 🔹 Students & Educators: A perfect guide for learners looking to understand AI concepts and build real-world projects with easy-to-follow explanations. 🔹 Entrepreneurs & Innovators: Whether you're exploring AI for business, automation, or creativity, this book will help you implement AI-driven solutions effectively. Why Wait? Start Building Your AI Journey Today! The future of AI isn’t just about using technology—it’s about creating it. With "Build Your Own AI Agent," you’ll learn how to transform your ideas into intelligent systems that can make a real difference in today’s tech-driven world. 📢 Order Your Copy Today and Begin Your AI Adventure! Don't miss the chance to be part of the AI revolution. Click the Buy Now button and take the first step toward becoming an AI innovator!
Ultimate Agentic Ai With Autogen For Enterprise Automation Design Build And Deploy Enterprise Grade Ai Agents Using Llms And Autogen To Power Intelligent Scalable Enterprise Automation
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Author : Rathish Mohan
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-06-30
Ultimate Agentic Ai With Autogen For Enterprise Automation Design Build And Deploy Enterprise Grade Ai Agents Using Llms And Autogen To Power Intelligent Scalable Enterprise Automation written by Rathish Mohan and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
Empowering Enterprises with Scalable, Intelligent AI Agents. Key Features● Hands-on practical guidance with step-by-step tutorials and real-world examples.● Build and deploy enterprise-grade LLM agents using the AutoGen framework.● Optimize, scale, secure, and maintain AI agents in real-world business settings. Book DescriptionIn an era where artificial intelligence is transforming enterprises, Large Language Models (LLMs) are unlocking new frontiers in automation, augmentation, and intelligent decision-making. Ultimate Agentic AI with AutoGen for Enterprise Automation bridges the gap between foundational AI concepts and hands-on implementation, empowering professionals to build scalable and intelligent enterprise agents. The book begins with the core principles of LLM agents and gradually moves into advanced topics such as agent architecture, tool integration, memory systems, and context awareness. Readers will learn how to design task-specific agents, apply ethical and security guardrails, and operationalize them using the powerful AutoGen framework. Each chapter includes practical examples—from customer support to internal process automation—ensuring concepts are actionable in real-world settings. By the end of this book, you will have a comprehensive understanding of how to design, develop, deploy, and maintain LLM-powered agents tailored for enterprise needs. Whether you're a developer, data scientist, or enterprise architect, this guide offers a structured path to transform intelligent agent concepts into production-ready solutions. What you will learn● Design and implement intelligent LLM agents using the AutoGen framework.● Integrate external tools and APIs to enhance agent functionality.● Fine-tune agent behavior for enterprise-specific use cases and goals.● Deploy secure, scalable AI agents in real-world production environments.● Monitor, evaluate, and maintain agents with robust operational strategies.● Automate complex business workflows using enterprise-grade AI solutions.
Ai Agent For All
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Author : Engr. Rajib Mazumder
language : en
Publisher: via tolino media
Release Date : 2025-05-06
Ai Agent For All written by Engr. Rajib Mazumder and has been published by via tolino media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-06 with Computers categories.
The growing importance of AI agents is further amplified by advancements in technology. Tools like Python, TensorFlow, and Hugging Face have democratized access to AI development, enabling creators of all skill levels to build agents with relative ease. Python, with its simplicity and rich ecosystem of libraries, serves as a foundational language for AI development. TensorFlow, developed by Google, provides a powerful framework for building machine learning models, while Hugging Face offers pre-trained models and tools that simplify tasks like natural language processing. These technologies lower the barrier to entry, allowing readers to experiment with AI agents without requiring extensive prior knowledge.
Generative Ai With Local Llm
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Author : Timur Isachenko
language : en
Publisher: Timur Isachenko
Release Date : 2024-10-04
Generative Ai With Local Llm written by Timur Isachenko and has been published by Timur Isachenko this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-04 with Computers categories.
A comprehensive roadmap for building AI-Driven applications with local LLMs
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours
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Author : QuickTechie | A career growth machine
language : en
Publisher: QuickTechie | A Career growth Machine
Release Date : 2025-02-01
Digital Worker An Ai Agent Using Python Learn In Just 3 Hours written by QuickTechie | A career growth machine and has been published by QuickTechie | A Career growth Machine this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Business & Economics categories.
Digital Worker: An AI Agent using Python Learn in Just 3 Hours" is a practical guide focused on enabling developers, tech enthusiasts, and business professionals to rapidly create and deploy AI-powered digital workers. This book emphasizes a hands-on approach to building AI agents using Python, making it accessible even for those with minimal prior experience in AI development. Designed to be completed within a focused three-hour timeframe, the book eschews lengthy theoretical explanations in favor of practical application. According to the book's approach, readers will quickly learn to build intelligent AI agents leveraging Python and contemporary AI frameworks. This includes understanding how to automate various tasks through the use of AI-driven decision-making processes and natural language processing (NLP). This knowledge will allow readers to integrate their custom-built AI workers into diverse real-world scenarios such as customer support systems, financial applications, and general enterprise automation solutions, as highlighted by the practical examples offered. Furthermore, the book offers guidance on optimizing and scaling AI agents, ensuring they operate with both efficiency and accuracy. The learning is structured through step-by-step tutorials and grounded in real-world examples, allowing the reader to quickly grasp fundamental AI concepts and begin implementing AI digital workers without months of preparatory study. As QuickTechie.com might endorse, whether you are a developer seeking to enhance your skills, an entrepreneur aiming to integrate automation into your business processes, or simply an AI enthusiast eager to explore practical applications, this book provides a rapid and effective pathway to harnessing the power of automation and AI. The book empowers individuals to start creating and deploying AI solutions quickly without a long and complex learning process.
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.
Ai Fundamentals Building Technical Knowledge From The Ground Up
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Author : Alan Knox
language : en
Publisher: Alan Knox
Release Date : 2025-07-11
Ai Fundamentals Building Technical Knowledge From The Ground Up written by Alan Knox and has been published by Alan Knox this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Computers categories.
Stop being intimidated by AI. Start understanding it. Artificial intelligence is transforming every industry, but you don't need a computer science degree to understand how it works. This book bridges the gap between AI hype and practical knowledge, giving business professionals the technical literacy to navigate the AI revolution confidently. What You'll Learn · How AI systems actually work, from algorithms to large language models · When and why to use different AI approaches for real problems · Practical implementation strategies, from data collection to deployment · Responsible AI development and ethical considerations · How to evaluate AI opportunities and manage AI projects successfully Perfect For Business executives, project managers, consultants, product managers, and entrepreneurs who need to make informed decisions about AI strategy and implementation. Your Competitive Advantage The most sophisticated AI in the world is worthless if you can't evaluate it, implement it, or use it effectively. This book provides the foundation for turning AI capabilities into business value. No technical background required. Just curiosity and willingness to learn.