Practical Agentic Ai
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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
Practical Agentic Ai
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Author : Evan Clarke
language : en
Publisher: Independently Published
Release Date : 2025-05-27
Practical Agentic Ai written by Evan Clarke and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-27 with Technology & Engineering categories.
Agentic AI represents the next evolution of artificial intelligence-systems that not only generate outputs but act autonomously to achieve goals, make decisions, and collaborate with humans and machines. From AI agents that schedule meetings to those managing supply chains or triaging healthcare data, this technology is shaping the future of intelligent automation, autonomous decision-making, and real-world AI deployment. Written by an experienced AI engineer and educator, Practical Agentic AI blends real-world knowledge with hands-on engineering expertise. Drawing from proven frameworks like LangChain, AutoGen, and OpenAI's GPT architecture, this book demystifies agentic systems with clarity, structure, and professional insight. Practical Agentic AI is your complete step-by-step guide to designing, building, and deploying goal-driven autonomous AI agents. Whether you're working on multi-modal agents, autonomous workflows, or reinforcement learning systems, this book delivers the knowledge and practical tools to develop intelligent, context-aware, and action-capable agents using Python and modern AI libraries. Foundations of agentic AI systems Architectures and frameworks like ReAct, AutoGPT, LangChain Building single- and multi-agent systems Tool use, memory, planning, and decision-making API integration, safety, and real-time monitoring Deployment strategies (cloud, CI/CD, scaling) Industry use cases in healthcare, finance, and education Ethical design, explainability, and regulatory compliance For developers, AI enthusiasts, data scientists, and engineers who have a working knowledge of Python and want to build advanced, autonomous AI applications. Whether you're prototyping agents or preparing for production deployment, this book is designed to accelerate your mastery. This hands-on guide saves you months of trial and error by delivering production-ready patterns, reusable blueprints, and practical workflows-all in one structured and actionable resource. Master the next generation of AI. Build intelligent agents that think, act, and evolve-today. Get your copy of Practical Agentic AI and start building the future now.
Cognitive Foundations Of Agentic Ai From Theory To Practice
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Cognitive Foundations Of Agentic Ai From Theory To Practice written by Anand Vemula and has been published by Anand Vemula this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Cognitive Foundations of Agentic AI: From Theory to Practice explores the conceptual and technical underpinnings of AI systems that act with autonomy, proactivity, and social intelligence. Drawing from cognitive science, artificial intelligence, and systems theory, this book provides a structured view of how intelligent agents perceive, learn, reason, and interact in dynamic environments. Beginning with a detailed exploration of what defines Agentic AI, the book delves into the cognitive processes that support agency—perception, learning, reasoning, memory, and decision-making. It bridges classical symbolic models with modern deep learning and neuro-symbolic systems to illustrate how hybrid architectures can enable generalizable, goal-driven behavior. Emphasis is placed on modeling real-world complexity, social cognition, and human-like interaction through language, emotional awareness, and theory of mind. The text also critically examines challenges such as generalization, ethical alignment, uncertainty, and explainability. Through illustrative case studies in robotics, healthcare, digital assistants, and multi-agent systems, it highlights the real-world implications and limitations of agentic systems. The final chapters outline practical pathways to building cognitive agents, including architecture design, training environments, and evaluation methods. It encourages a collaborative AI-human future where agents not only support but enhance human decision-making, learning, and creativity. Ideal for AI practitioners, researchers, and graduate students, the book offers both a theoretical framework and practical insights into creating autonomous systems that think, learn, and act intelligently. It invites readers to rethink intelligence not as a fixed trait but as an emergent, contextual process deeply rooted in cognition.
Mastering Agentic Ai
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Author : Ted Winston
language : en
Publisher:
Release Date : 2025
Mastering Agentic Ai written by Ted Winston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with Artificial intelligence categories.
"The next era of artificial intelligence is here - Agentic AI. These cutting-edge systems go beyond traditional AI by independently perceiving environments, reasoning about complex problems, learning from experience, and taking decisive action without human intervention. From autonomous vehicles and intelligent robots to adaptive industrial systems and personalized digital assistants, agentic AI is revolutionizing industries and redefining what machines can achieve. This book is your comprehensive guide to designing, building, and deploying these powerful, self-directed AI systems. Written by an industry expert with deep insights into artificial intelligence and autonomous systems, this book delivers a practical, real-world approach to mastering agentic AI. Drawing on the latest advancements in machine learning, cognitive architectures, reinforcement learning, and ethical design, this guide equips you with the tools, frameworks, and knowledge needed to create intelligent systems that not only perform but evolve and adapt in complex environments. Whether you're a developer, AI researcher, engineer, or tech leader, this book will help you stay ahead in the rapidly evolving AI landscape"--
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.
Building Agentic Ai Systems
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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21
Building Agentic Ai Systems written by Anjanava Biswas and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-21 with Computers categories.
Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.
Agentic 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.
Practical Agentic Ai For Finance With Python
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Author : MADHAVA. U
language : en
Publisher:
Release Date : 2025
Practical Agentic Ai For Finance With Python written by MADHAVA. U 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.
Exploring Agentic Ai Pioneering The Next Frontier In Autonomous Decisionmaking And Machine Learning Applications
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Author : Kishore Challa
language : en
Publisher: SADGURU PUBLICATIONS
Release Date :
Exploring Agentic Ai Pioneering The Next Frontier In Autonomous Decisionmaking And Machine Learning Applications written by Kishore Challa and has been published by SADGURU PUBLICATIONS this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Agentic Ai Agents
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Author : Emilia Varnes
language : en
Publisher: Independently Published
Release Date : 2025-06-18
Agentic Ai Agents written by Emilia Varnes and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-18 with Business & Economics categories.
Are you a business owner, manager, or team leader who wants to adopt AI-but don't know where to start? Have you heard about AI agents but feel they're too technical, expensive, or out of reach for your business? Do you want to outperform your competitors by leveraging AI-before they do? If this sounds familiar, it's time to take the next step-with a roadmap built for real-world results. Implement agentic AI in your business in just 30 days-no technical background required The practical, no-fluff playbook to integrate AI agents in your business-fast. The business world is changing fast, and companies that fail to adapt will fall behind. AI isn't just for tech giants anymore-but most businesses don't know how to use it effectively. Projects stall, tools overwhelm, and agile competitors take the lead. But you don't need a team of engineers or a massive budget to get started. You need a clear, practical roadmap-built for real business leaders. Agentic AI Agents is your step-by-step guide to implementing powerful, autonomous AI agents in just 30 days. Designed for startups, small businesses, and decision-makers, this hands-on playbook helps you go from idea to real-world results-without the fluff, jargon, or technical hurdles. This system is already helping entrepreneurs and teams streamline operations, cut costs, and unlock new growth-without writing a single line of code. Built on a lean, business-first approach, this book walks you through a four-week plan to harness AI for automation, innovation, and competitive growth. Inside, you'll learn how to: Identify high-impact areas in your business to deploy AI agents Build your first working agent using no-code tools and simple workflows Follow a weekly roadmap (Week 1-4) to go from concept to execution Explore real-world use cases to inspire your own AI applications Avoid common pitfalls and streamline implementation with field-tested checklists And much more Included with your purchase: a full bonus toolkit to accelerate implementation 1-Page Agent Charter Template - Define your agent's purpose, boundaries, and goals Use-Case Prioritization Grid - Prioritize high-impact automations at a glance Prompt Architecture Canvas - Design smarter prompt flows and improve reliability MVP Build Checklist - Plan and validate your first AI agent step by step Test & Evaluation Scorecard - Guidelines and scoring system to assess agent performance Launch Checklist + Feedback Form - Ensure a smooth launch and collect user feedback Tool Stack Directory with Free Tiers - A curated list of essential tools to build and scale affordably Imagine your team free from repetitive tasks. Imagine smarter decisions, real-time customer interactions, and round-the-clock growth powered by autonomous AI agents. This isn't a distant future-it's your 30-day transformation. Ready to lead with AI? Grab your copy of Agentic AI Agents and gain the advantage your competitors wish they had.