Agentic Ai Serverless Ai Integration
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Agentic Ai Serverless Ai Integration
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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.
Data Driven Agentic Ai Integrating Data Science And Machine Learning
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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.
Serverless Agentic Ai
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Author : Ronald Taylor
language : en
Publisher: Independently Published
Release Date : 2025-02-27
Serverless Agentic Ai written by Ronald Taylor and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-27 with Computers categories.
Serverless Agentic AI: Build Autonomous AI Agents Using Serverless Technology for Scalable Automation and Seamless Cloud Integration Unlock the future of AI automation with Serverless Agentic AI, the definitive guide to building intelligent, self-directed AI agents using serverless computing. Whether you're an AI engineer, cloud architect, or technology leader, this book provides the knowledge and tools to design scalable, efficient, and cost-effective AI systems that operate autonomously-without the burden of managing infrastructure. Grounded in cutting-edge research and real-world applications, this book takes you step by step through designing agentic AI systems that leverage retrieval-augmented generation (RAG), multimodal intelligence, and multi-agent collaboration. You'll explore AWS-native solutions, cloud-edge hybrid approaches, and cognitive frameworks to develop AI-driven applications that adapt dynamically to their environments. From AI-powered business automation to real-time decision-making, this book demonstrates how to integrate serverless functions, event-driven architectures, and scalable storage solutions to build highly responsive, context-aware AI agents. Through hands-on insights and practical strategies, you'll master techniques for optimizing performance, securing AI workloads, and ensuring compliance-while keeping operational costs under control. What You'll Learn: Architect autonomous AI agents using serverless computing and modern cloud technologies. Implement retrieval-augmented generation (RAG) to enhance agent decision-making with real-time knowledge. Design multi-agent AI systems that collaborate, learn, and execute complex workflows. Optimize AI execution time, resource allocation, and cost-efficiency in large-scale automation. Deploy context-aware multimodal AI applications that integrate text, vision, and audio intelligence. Secure AI workloads using identity and access management (IAM), encryption, and compliance best practices. Leverage edge computing for low-latency AI inference and hybrid cloud strategies for maximum scalability. With insights from modern AI architectures, AWS-native tools, and practical agentic AI frameworks, Serverless Agentic AI bridges the gap between theory and hands-on implementation. Whether you're building next-generation chatbots, predictive analytics platforms, or fully autonomous AI-driven enterprises, this book equips you with everything you need to design intelligent, self-directed AI systems that operate at scale. Stay ahead of the AI revolution-build, deploy, and master Serverless Agentic AI today.
Strategic Implementation Of Agentic Ai Tools Techniques And Use Cases
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Strategic Implementation Of Agentic Ai Tools Techniques And Use Cases 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.
Strategic Implementation of Agentic AI provides a comprehensive, practice-driven roadmap for deploying autonomous agents across real-world enterprise environments. The book is structured into four major parts—principles and deployment, tools and techniques, enterprise use cases, and strategic foresight—offering a 360-degree view of agentic AI from foundational theory to advanced integration. Beginning with the core capabilities of agentic systems such as autonomy, proactivity, and goal orientation, the book lays out design methodologies that align AI behavior with organizational intent. It covers infrastructure design, from cloud-native deployments to agent platforms like LangChain and AutoGen, while addressing security, privacy, and responsible governance. The second section explores the technical backbone of agentic AI: agent-oriented programming, prompt engineering, memory architectures, multi-agent coordination, and telemetry feedback loops. Each chapter demonstrates how to build scalable, modular agents with adaptive learning and decision-making capacity. Real-world applications take center stage in the third part. Readers gain insight into agent deployment in business operations, sales, healthcare, education, manufacturing, and more—uncovering how agents optimize workflows, support decision-making, and enable human-machine collaboration at scale. The final part focuses on strategic alignment, scaling ecosystems, ethics, regulatory impacts, and future planning. It offers tools to assess maturity, define KPIs, and envision a path toward intelligent, resilient, and ethical agentic ecosystems. Written for technologists, architects, and enterprise leaders, this book bridges vision and implementation—offering a pragmatic guide to turning autonomous AI into a core strategic capability.
The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors
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Author : Abhishek Dodda
language : en
Publisher: Global Pen Press UK
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The Future Of Financial Technology Integrating Generative Ai Agentic Systems And Secure Data Engineering In The Public And Private Sectors written by Abhishek Dodda and has been published by Global Pen Press UK 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 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
Autonomous Operational And Business Support Systems In Retail Manufacturing Integrating Ai Agentic Intelligence And Scalable Data Engineering
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Author : Shabrinath Motamary
language : en
Publisher: GLOBAL PEN PRESS UK
Release Date :
Autonomous Operational And Business Support Systems In Retail Manufacturing Integrating Ai Agentic Intelligence And Scalable Data Engineering written by Shabrinath Motamary and has been published by GLOBAL PEN PRESS UK this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Mastering Serverless Agentic Ai
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Author : BRIAN. PITMAN
language : en
Publisher: Independently Published
Release Date : 2025-02-21
Mastering Serverless Agentic Ai written by BRIAN. PITMAN and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-21 with Computers categories.
Mastering Serverless Agentic AI: Build Scalable, Autonomous AI Agents-Optimize Workflows, Automate Decisions, and Seamlessly Integrate with Cloud Services Using Serverless Architecture Unlock the future of AI with Mastering Serverless Agentic AI, the ultimate guide to building intelligent, autonomous systems that scale effortlessly in the cloud. This groundbreaking book provides a comprehensive, hands-on approach to designing, deploying, and managing serverless AI agents capable of reasoning, decision-making, and real-world interaction using cutting-edge technologies like Amazon Bedrock, Retrieval-Augmented Generation (RAG), LangChain, AWS API Gateway, and OpenSearch. Whether you're an AI engineer, cloud architect, or enterprise innovator, this book equips you with actionable strategies to develop context-aware, multimodal, and self-directed AI agents that seamlessly integrate with APIs, databases, and external tools. You'll explore advanced Agentic AI architectures, leverage multi-agent systems, and implement secure, scalable AI pipelines using best practices in serverless computing and modern cloud frameworks. Key topics include: Building AI-driven chatbots, virtual assistants, and decision-making agents Implementing advanced memory systems with vector databases and contextual retrieval Connecting AI agents to APIs for real-world automation and business intelligence Harnessing AWS Bedrock, OpenSearch, and API Gateway for enterprise-grade AI applications Optimizing RAG-based architectures for next-generation AI-powered workflows Securing AI agents with IAM policies, responsible AI practices, and compliance frameworks Scaling AI agents across cloud and edge computing for maximum efficiency With step-by-step tutorials, real-world use cases, and expert insights, this book serves as your practical roadmap to mastering autonomous AI systems in production environments. If you're ready to future-proof your AI skills and stay ahead of the next wave of AI innovation, Mastering Serverless Agentic AI is your essential resource.
Ultimate Snowflake Cortex Ai For Generative Ai Applications
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Author : Krishnan Srinivasan
language : en
Publisher: Orange Education Pvt Ltd
Release Date : 2025-06-21
Ultimate Snowflake Cortex Ai For Generative Ai Applications written by Krishnan Srinivasan 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 2025-06-21 with Computers categories.
TAGLINE Power your AI Journey and Build the Future with Snowflake Cortex. KEY FEATURES ● Build enterprise-ready GenAI apps using Snowflake Cortex tools and APIs. ● Implement RAG, AI Agents, and Document AI with real-world precision. ● Explore practical Cortex use cases across industries and domains. DESCRIPTION Snowflake Cortex is redefining how modern enterprises build, scale, and deploy Generative AI—natively within the data cloud. Ultimate Snowflake Cortex AI for Generative AI Applications is a hands-on, end-to-end guide designed for data professionals, engineers, and technical leaders eager to unlock the full power of Snowflake’s native AI engine. The book begins by grounding you in the fundamentals of AI/ML within the Snowflake ecosystem before diving deep into the architecture, capabilities, and use cases of Snowflake Cortex. As you progress, you’ll explore Cortex’s built-in machine learning functions, dive into prompt engineering, Retrieval-Augmented Generation (RAG), and learn how to leverage LLM functions effectively. You'll gain hands-on experience in fine-tuning models, translating natural language queries into actionable insights, and automating document processing using Cortex’s Document AI. Practical chapters on security, governance, and cost discipline ensure you're prepared for enterprise-scale AI deployment. With real-world case studies and cross-industry applications, this book equips you with both the strategic understanding and technical skills to implement Generative AI at scale. Cortex is the future of enterprise AI—don’t just adapt to it, lead it. WHAT WILL YOU LEARN ● Build and deploy Generative AI apps using Snowflake Cortex. ● Understand and apply Cortex's built-in LLM functions effectively. ● Fine-tune LLMs for domain-specific, enterprise-grade applications. ● Use RAG and prompt engineering for accurate AI responses. ● Extract insights from structured and unstructured enterprise data. ● Automate document workflows using Cortex’s Document AI features. ● Solve cross-industry problems with real-world Cortex implementations. WHO IS THIS BOOK FOR? The book is tailored for data scientists, engineers, analysts, and technical leaders looking to harness the power of Generative AI using Snowflake Cortex. A basic understanding of AI/ML concepts, along with familiarity in SQL, Python, and Snowflake, will help readers fully benefit from the practical examples. TABLE OF CONTENTS 1. Introduction to AI/ML in the Snowflake Ecosystem 2. Understanding Snowflake Cortex 3. Overview of Machine Learning Functions 4. Introduction to LLMs, Prompt Engineering, and RAG 5. LLM Functions in Cortex AI 6. Fine-Tuning Large Language Models in Cortex 7. Natural Language Queries to Actionable Insights 8. Unlocking Document Intelligence with Document AI 9. Implementing Cortex with Security, Governance, and Cost Discipline 10. Industry Use Cases and Case Studies 11. Conclusion and Next Steps Index
Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure
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Author : Avinash Pamisetty
language : en
Publisher: AQUA PUBLICATIONS
Release Date :
Cloud Native Intelligence And Scalable Ai For Supply Chain Food Services And Financial Infrastructure written by Avinash Pamisetty and has been published by AQUA 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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