Agentic Ai Integration
DOWNLOAD
Download Agentic Ai Integration PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Agentic Ai Integration 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
Agentic Ai In Enterprise
DOWNLOAD
Author : Sumit Ranjan
language : en
Publisher: Springer Nature
Release Date : 2025-08-13
Agentic Ai In Enterprise written by Sumit Ranjan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-13 with Computers categories.
This book delves into the transformative power of Enterprise Agentic AI, tracing its evolution from basic automation to intelligent agents capable of contextual reasoning, memory retention, and autonomous decision-making. It provides a strategic roadmap for enterprises looking to integrate Agentic AI seamlessly into their operations while ensuring scalability, efficiency, and security. Readers will explore architectural best practices, including cloud, hybrid, and on-premises deployment models, and gain insights into LLM optimization strategies like Retrieval-Augmented Generation (RAG) and fine-tuning. The book also covers advanced prompt engineering techniques, the role of vector databases in AI-driven applications, and governance frameworks to ensure ethical, transparent, and responsible AI adoption. Through real-world case studies, the book illustrates AI’s impact across retail, healthcare, supply chain management, and customer engagement. It also examines the next wave of AI advancements, such as autonomous decision-making, AI-augmented leadership, and the evolving synergy between human expertise and intelligent agents in enterprise settings. By the end of this book, readers will have the knowledge and tools to design, deploy, and manage AI agents that are not only cutting-edge but also aligned with enterprise security, governance, and ethical standards. You Will: Understand how AI agents go beyond traditional models by incorporating contextual reasoning, long-term memory, and autonomous decision-making to enhance enterprise operations. Explore scalable deployment models (cloud, hybrid, on-premises) and best practices for integrating LLMs, vector databases, and prompt engineering into your AI workflows. Develop robust AI governance frameworks, conduct risk assessments, and implement security protocols to safeguard enterprise data while ensuring responsible AI adoption. Gain insights into transparency, accountability, and fairness in AI deployments, ensuring AI agents align with corporate values and global ethical standards. This book is for : Enterprise Architects.
Agentic Ai Integration
DOWNLOAD
Author : LUCA. RANDALL
language : en
Publisher: Independently Published
Release Date : 2025-03-17
Agentic Ai Integration written by LUCA. RANDALL and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-17 with Computers categories.
Agentic AI Integration: Leveraging MCP Servers for Intelligent Systems Are you ready to harness the full potential of autonomous AI agents in your projects? "Agentic AI Integration" serves as your comprehensive guide to understanding and implementing the Model Context Protocol (MCP), a pivotal framework that facilitates seamless interaction between AI models and external tools. What can you expect from this book? In-Depth Understanding: Gain a solid grasp of agentic AI's evolution, from basic rule-based systems to sophisticated autonomous agents capable of complex decision-making and learning. Practical Implementation: Learn how to set up both local and cloud-based MCP development environments. The book provides step-by-step instructions on building, testing, and deploying MCP servers, ensuring you can apply these concepts effectively in real-world scenarios. Integration Strategies: Discover methods to overcome common integration challenges, ensuring your AI agents can interact seamlessly with various tools and systems. Future Insights: Explore emerging trends and innovations in agentic AI, preparing you to stay ahead in this rapidly evolving field. Why is this book unique? Unlike other technical manuals, "Agentic AI Integration" combines theoretical foundations with hands-on tutorials, offering complete, functional, and up-to-date code examples. The content is structured logically to facilitate easy comprehension, minimizing redundancy and focusing on practical implementations. Whether you're a seasoned developer or a newcomer to AI, this book provides valuable insights and tools to enhance your projects. Ready to elevate your AI integration skills? Embark on a journey to master MCP servers and transform the way your intelligent systems interact with the world. Get your copy of "Agentic AI Integration" today and take the next step in AI innovation.
Building Agentic Ai Systems
DOWNLOAD
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 Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader 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 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 Ai
DOWNLOAD
Author : Maria Johnsen
language : en
Publisher: Maria Johnsen
Release Date : 2025-01-02
Agentic Ai written by Maria Johnsen and has been published by Maria Johnsen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-02 with Technology & Engineering categories.
In Agentic AI, readers are taken on a compelling journey into the transformative world of autonomous artificial intelligence. This in-depth exploration covers the evolution of agentic systems, from their historical roots in early automata to their role in shaping future technologies. The book delves into the philosophy of agency in machines, examining the intricate balance between control and independence, and how these systems are redefining fields such as healthcare, defense, space exploration, and creative industries. With chapters focused on the critical components of agentic AI including decision-making, learning, goal-orientation, and ethical considerations Maria Johnsen sheds light on both the technical and moral implications of creating AI systems capable of autonomous action. The book also addresses pressing concerns such as privacy, bias, fairness, and the societal impact of AI, offering insights into its integration into diverse sectors, from smart cities to autonomous transportation. A particularly poignant section highlights the moral responsibility of agentic AI, exploring how ethical frameworks can guide the development of these systems and ensure accountability in their decision-making processes. The future of work and the potential for AI to disrupt industries and create new roles is also examined, with a focus on preparing society for the inevitable changes on the horizon. Through case studies, expert insights, and future predictions, Agentic AI offers a comprehensive look at how autonomous systems are shaping our world and what lies ahead in the next frontier of artificial intelligence.
Agentic Ai Serverless Ai Integration
DOWNLOAD
Author : Larry Shawn
language : en
Publisher: Independently Published
Release Date : 2025-03-22
Agentic Ai Serverless Ai Integration written by Larry Shawn and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-22 with Technology & Engineering categories.
Book Title: Agentic AI & Serverless AI Integration: N8N Automation Tool for Orchestrating Autonomous AI Workflows with LangChain, AutoGen, LangGraph, and Serverless Execution Amazon-Optimized Book Description: Unlock the next evolution of AI development with Agentic AI & Serverless AI Integration-the essential, hands-on guide for building real-time, autonomous AI systems that scale. This book is your comprehensive blueprint for designing, deploying, and managing intelligent multi-agent systems using powerful tools like LangChain, AutoGen, and LangGraph, seamlessly integrated into serverless AWS environments and n8n's no-code orchestration platform. Whether you're an AI engineer, cloud architect, or automation professional, you'll learn how to harness the full potential of Python, Hugging Face Transformers, and LLM-driven agents to streamline business operations, optimize workflows, and drive intelligent automation at scale. Explore how to implement LangChain-powered AI agents with persistent memory, dynamic reasoning, and modular pipelines. Master AutoGen's multi-agent collaboration framework for task delegation, human-agent interaction, and contextual adaptability. Deploy serverless microservices that power real-time decision-making-efficient, secure, and compliant with modern enterprise standards. Inside this book, you'll gain actionable insights into: Architecting cost-effective, serverless AI systems with AWS Lambda, EventBridge, and Step Functions Building modular agentic frameworks with LangChain, LangGraph, and PyTorch 2.0 Integrating AutoGen to coordinate intelligent agents across complex workflows Orchestrating end-to-end automation with n8n's low-code/no-code platform Enabling secure, scalable, and compliant AI operations for enterprise-grade applications Deploying LLMs as operating systems for data processing, API calling, and human-like reasoning Creating real-world workflows for sales automation, customer support, analytics, and more With extensive code walkthroughs, architecture diagrams, and real-world use cases, this book empowers you to bridge the gap between state-of-the-art AI and practical, production-ready deployment. If you're ready to build the next generation of autonomous, intelligent, and serverless systems, this book will show you how-step by step. Perfect for: Machine learning engineers, AI developers, DevOps teams, solution architects, automation engineers, and technical product managers working with LLMs, serverless infrastructure, and AI-driven automation. Build smarter. Scale faster. Automate everything.
Building Agentic Ai With N8n
DOWNLOAD
Author : Calen Voss
language : en
Publisher: Independently Published
Release Date : 2025-06-24
Building Agentic Ai With N8n written by Calen Voss and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Computers categories.
The future of automation is agentic. With the rise of AI agents, large language models (LLMs), and no-code platforms, businesses and developers are rethinking how they build intelligent, scalable systems. n8n is a powerful open-source workflow automation tool that bridges no-code ease with advanced AI integrations, enabling users to build autonomous agents powered by GPT-4, Claude, Gemini, and custom APIs-without writing complex infrastructure code. This book is authored by a seasoned automation architect with hands-on experience building agentic workflows, AI copilots, and production-ready LLM-powered assistants. Drawing from real-world case studies, enterprise-grade automation patterns, and platform-specific techniques, this guide reflects today's best practices for anyone building next-generation AI systems using n8n. "BUILDING AGENTIC AI with n8n" is a practical and complete guide to designing, integrating, and deploying intelligent, autonomous agents using the n8n automation platform. You'll learn how to connect LLMs like OpenAI and Gemini, implement memory and context management, connect to APIs and databases, and scale your agentic workflows with reliability and observability. Whether you're a solo creator, startup builder, or automation engineer, this book delivers actionable knowledge for building real AI systems-without writing endless boilerplate code. Foundations of Agentic AI, No-Code Architecture, and Event-Driven Design Step-by-step guide to building LLM-integrated workflows Prompt engineering templates and AI chaining methods How to securely connect APIs (OpenAI, Gemini, LangChain, etc.) Data pipelines, customer support agents, and real-world use cases Debugging, monitoring, version control, and deployment strategies Comparisons with LangChain, Flowise, and other agent frameworks Appendices with prompt templates, API reference, and glossary This book is ideal for automation enthusiasts, no-code builders, developers, AI tinkerers, solopreneurs, tech startups, and operations teams looking to implement smart agentic workflows. Whether you're new to AI automation or seeking to enhance your LLM projects with reliable tools like n8n, this guide provides clear, hands-on knowledge without unnecessary fluff. In just a few hours, you'll go from understanding what agentic AI means to deploying your own intelligent workflows using n8n and state-of-the-art AI APIs. Each chapter is designed to deliver immediate value, progressively deepening your technical expertise and confidence with practical projects you can build today. Start building smarter, faster, and more autonomous systems-today. Buy "BUILDING AGENTIC AI with n8n" now and unlock the power of no-code AI agents, LLM workflows, and event-driven automation. Whether you're creating internal tools or launching AI-powered products, this book is your blueprint for scalable, future-ready AI automation.
Data Driven Agentic Ai Integrating Data Science And Machine Learning
DOWNLOAD
Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Data Driven Agentic Ai Integrating Data Science And Machine Learning 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.
Data-Driven Agentic AI explores the emerging paradigm where autonomous agents interact with data, tools, and humans to solve complex problems across industries. Bridging the gap between data science, machine learning, and intelligent systems design, this book offers a detailed blueprint for building agentic AI that is autonomous, adaptive, and trustworthy. The book begins by grounding readers in the foundations of agency in artificial intelligence — defining key traits such as autonomy, goal orientation, and memory. It then builds into the architectural and technical elements required to create scalable and reliable agents, covering vector-based memory, tool integration, prompt orchestration, and multi-modal data pipelines. Key implementation frameworks like LangChain, AutoGen, and CrewAI are examined alongside infrastructure strategies for deploying agents in real-time, cloud-native environments. Extensive focus is placed on evaluation methodologies, debugging techniques, security, and compliance — equipping readers to monitor, align, and govern autonomous agents responsibly. Use cases span finance, healthcare, customer service, and robotics, demonstrating how agentic AI transforms industry practices. The final chapters explore collaborative human-agent interaction, ethical design, emergent behaviors, and decentralized multi-agent systems. A hands-on guide for practitioners concludes the book, detailing tools, workflows, and adoption roadmaps. Whether you're a data scientist, ML engineer, product leader, or researcher, this comprehensive guide delivers the theoretical grounding and practical insights to design and deploy intelligent, data-driven agents for the real world.
Building Agentic Ai
DOWNLOAD
Author : Sinan Ozdemir
language : en
Publisher: Addison-Wesley Professional
Release Date : 2025-12-08
Building Agentic Ai written by Sinan Ozdemir and has been published by Addison-Wesley Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-08 with Computers categories.
Transform Your Business with Intelligent AI to Drive Outcomes Building reactive AI applications and chatbots is no longer enough. The competitive advantage belongs to those who can build AI that can respond, reason, plan, and execute. Building Agentic AI: Workflows, Fine-Tuning, Optimization, and Deployment takes you beyond basic chatbots to create fully functional, autonomous agents that automate real workflows, enhance human decision-making, and drive measurable business outcomes across high-impact domains like customer support, finance, and research. Whether you're a developer deploying your first model, a data scientist exploring multi-agent systems and distilled LLMs, or a product manager integrating AI workflows and embedding models, this practical handbook provides tried and tested blueprints for building production-ready systems. Harness the power of reasoning models for applications like computer use, multimodal systems to work with all kinds of data, and fine-tuning techniques to get the most out of AI. Learn to test, monitor, and optimize agentic systems to keep them reliable and cost-effective at enterprise scale. Master the complete agentic AI pipeline Design adaptive AI agents with memory, tool use, and collaborative reasoning capabilities Build robust RAG workflows using embeddings, vector databases, and LangGraph state management Implement comprehensive evaluation frameworks beyond accuracy, including precision, recall, and latency metrics Deploy multimodal AI systems that seamlessly integrate text, vision, audio, and code generation Optimize models for production through fine-tuning, quantization, and speculative decoding techniques Navigate the bleeding edge of reasoning LLMs and computer-use capabilities Balance cost, speed, accuracy, and privacy in real-world deployment scenarios Create hybrid architectures that combine multiple agents for complex enterprise applications Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Agentic Ai For Healthcare
DOWNLOAD
Author : Sairohith Thummarakoti
language : en
Publisher:
Release Date : 2026-03-19
Agentic Ai For Healthcare written by Sairohith Thummarakoti and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2026-03-19 with Business & Economics categories.
The healthcare industry is undergoing a transformative shift as artificial intelligence moves from isolated predictive models to autonomous, goal-driven agents capable of reasoning, planning, and adapting in real time. Agentic AI for Healthcare: Building Scalable Models for Production is the first comprehensive technical guide that focuses specifically on designing and deploying agentic AI systems within complex clinical and operational healthcare environments. Unlike traditional AI systems that passively infer outcomes, agentic AI involves systems that actively make decisions, coordinate with other agents, and take initiative toward long-term goals, making them ideal for dynamic and high-stakes healthcare settings. What sets this book apart is its deep technical focus tailored for computer scientists, architects, and AI engineers who are building real-world healthcare solutions. Each chapter bridges theoretical foundations with production-ready implementations using cloud-native technologies, distributed architectures, knowledge representation models, and secure deployment pipelines. With detailed case studies in oncology, vaccine management, and hospital operations, the book demonstrates how agentic AI can improve care delivery, reduce cognitive burden on clinicians, and automate routine workflows--all while meeting regulatory standards. As healthcare increasingly adopts AI-first strategies, this book fills a critical need by offering a structured, engineering-centered approach to building scalable, intelligent, and trustworthy healthcare systems.
Ultimate Agentic Ai With Autogen For Enterprise Automation
DOWNLOAD
Author : Shekhar Agrawal
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-06-30
Ultimate Agentic Ai With Autogen For Enterprise Automation written by Shekhar Agrawal and has been published by Orange Education Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-30 with Computers categories.
TAGLINE 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. DESCRIPTION In 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. Start building the next generation of enterprise AI agents with AutoGen—today. WHAT WILL YOU 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. WHO IS THIS BOOK FOR? This book is tailored for AI/ML engineers, software developers, data scientists, solution architects, enterprise tech leads, product managers, innovation strategists, and CTOs. It’s also valuable for business leaders and decision-makers seeking to understand and leverage LLM-powered agentic systems for scalable, intelligent enterprise solutions. TABLE OF CONTENTS 1. Introduction to LLM Agents (Foundation and Impact) 2. Architecting LLM Agents (Patterns and Frameworks) 3. Building a Task-Oriented Agent using AutoGen 4. Integrating Tools for Enhanced Functionality 5. Context Awareness and Memory System 6. Designing Multi-Agent Systems 7. Evaluation Framework for Agents and Tools 8. Agent-Security, Guardrails, Trust, and Privacy 9. LLM Agents in Production 10. Use Cases for Enterprise LLM Agents 11. Advanced Prompt Engineering for Effective Agents Index