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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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
Author: Rathish Mohan
language: en
Publisher: Orange Education Pvt Limited
Release Date: 2025-06-30
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.
Ultimate Agentic AI with AutoGen for Enterprise Automation
Author: Shekhar Agrawal
language: en
Publisher: Orange Education Pvt Ltd
Release Date: 2025-06-30
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
Agentic AI & Serverless AI Integration
Author: Larry Shawn
language: en
Publisher: Independently Published
Release Date: 2025-03-22
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.