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Ultimate Agentic Ai With Autogen For Enterprise Automation


Ultimate Agentic Ai With Autogen For Enterprise Automation
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Ultimate Agentic Ai With Autogen For Enterprise Automation


Ultimate Agentic Ai With Autogen For Enterprise Automation
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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



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


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.



Essential Solutions Architect S Handbook


Essential Solutions Architect S Handbook
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Author : Bikramjit Debnath
language : en
Publisher: BPB Publications
Release Date : 2025-04-30

Essential Solutions Architect S Handbook written by Bikramjit Debnath and has been published by BPB Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-30 with Computers categories.


DESCRIPTION In an era where cloud computing, AI, and automation are reshaping industries, this book offers a comprehensive guide for IT professionals seeking to master modern software architecture. It will help bridge the gap between technical expertise and strategic leadership, empowering developers and mid-career professionals to stay ahead in an AI-driven, cloud-first world. Structured into six categories, this book covers key areas such as cloud foundations and migration, modern application development, and AI and advanced technologies. Readers will learn strategies for seamless cloud migration, microservices, serverless computing, and real-time data processing. This book will also provide insights into AI architecture, MLOps, and cloud data warehousing. The book’s focus on infrastructure automation, observability, and FinOps ensures operational efficiency while preparing you for future technological trends like hybrid/multi-cloud strategies, quantum computing, and sustainable IT practices. After reading this book, readers will have gained practical skills in cloud architecture, AI deployment, and data-driven decision-making. With strategic insights and industry best practices, they will be well-equipped to take on leadership roles such as solution architect, enterprise architect, or CTO, driving innovation and shaping the future of technology in their organizations. WHAT YOU WILL LEARN ● Understand solution architecture principles and design scalable solutions. ● Learn cloud migration strategies, including data center and application assessments. ● Explore modern application design practices like microservices and serverless. ● Master data management, governance, and real-time data processing techniques. ● Gain insights into generative AI, AI operationalization, and MLOps. ● Automate infrastructure with IaC, observability, and site reliability engineering. WHO THIS BOOK IS FOR This book is designed for experienced cloud engineers, cloud developers, systems administrators, and solutions architects who aim to expand their expertise toward a CTO-level understanding. It is perfect for professionals with intermediate to advanced knowledge of cloud technologies, systems architecture, and programming, seeking to elevate their strategic and technical skills. TABLE OF CONTENTS 1. Introduction to Solution Architecture 2. Cloud Migration Essentials 3. Operational Excellence in Cloud 4. Modern Application Architecture 5. Development Practices and Tools 6. Data Architecture and Processing 7. Data Strategy and Governance 8. Advanced Analytics 9. Generative AI and Machine Learning 10. Automation and Infra Management 11. FinOps Foundations 12. Security, Privacy, and Ethics 13. Innovation and Future Technologies 14. CTO’s Playbook for Transformation APPENDIX: Additional Resources for Further Learning



A Simple Guide To Retrieval Augmented Generation


A Simple Guide To Retrieval Augmented Generation
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Author : Abhinav Kimothi
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-15

A Simple Guide To Retrieval Augmented Generation written by Abhinav Kimothi and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-15 with Computers categories.


Everything you need to know about Retrieval Augmented Generation in one human-friendly guide. Generative AI models struggle when you ask them about facts not covered in their training data. Retrieval Augmented Generation—or RAG—enhances an LLM’s available data by adding context from an external knowledge base, so it can answer accurately about proprietary content, recent information, and even live conversations. RAG is powerful, and with A Simple Guide to Retrieval Augmented Generation, it’s also easy to understand and implement! In A Simple Guide to Retrieval Augmented Generation you’ll learn: • The components of a RAG system • How to create a RAG knowledge base • The indexing and generation pipeline • Evaluating a RAG system • Advanced RAG strategies • RAG tools, technologies, and frameworks A Simple Guide to Retrieval Augmented Generation shows you how to enhance an LLM with relevant data, increasing factual accuracy and reducing hallucination. Your customer service chatbots can quote your company’s policies, your teaching tools can draw directly from your syllabus, and your work assistants can access your organization’s minutes, notes, and files. Purchase of the print book includes a free eBook in PDF and ePub formats from Manning Publications. About the book A Simple Guide to Retrieval Augmented Generation makes RAG simple and easy, even if you’ve never worked with LLMs before. This book goes deeper than any blog or YouTube tutorial, covering fundamental RAG concepts that are essential for building LLM-based applications. You’ll be introduced to the idea of RAG and be guided from the basics on to advanced and modularized RAG approaches—plus hands-on code snippets leveraging LangChain, OpenAI, Transformers, and other Python libraries. Chapter-by-chapter, you’ll build a complete RAG enabled system and evaluate its effectiveness. You’ll compare and combine accuracy-improving approaches for different components of RAG, and see what the future holds for RAG. You’ll also get a sense of the different tools and technologies available to implement RAG. By the time you’re done reading, you’ll be ready to start building RAG enabled systems. About the reader For data scientists, machine learning and software engineers, and technology managers who wish to build LLM-based applications. Examples in Python—no experience with LLMs necessary. About the author Abhinav Kimothi is an entrepreneur and Vice President of Artificial Intelligence at Yarnit. He has spent over 15 years consulting and leadership roles in data science, machine learning and AI.



Machine Learning Engineering


Machine Learning Engineering
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Author : Andriy Burkov
language : en
Publisher: True Positive Incorporated
Release Date : 2020-09-08

Machine Learning Engineering written by Andriy Burkov and has been published by True Positive Incorporated this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-09-08 with categories.


The most comprehensive book on the engineering aspects of building reliable AI systems. "If you intend to use machine learning to solve business problems at scale, I'm delighted you got your hands on this book." -Cassie Kozyrkov, Chief Decision Scientist at Google "Foundational work about the reality of building machine learning models in production." -Karolis Urbonas, Head of Machine Learning and Science at Amazon



Mathematics For Machine Learning


Mathematics For Machine Learning
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Author : Marc Peter Deisenroth
language : en
Publisher: Cambridge University Press
Release Date : 2020-04-23

Mathematics For Machine Learning written by Marc Peter Deisenroth and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-04-23 with Computers categories.


Distills key concepts from linear algebra, geometry, matrices, calculus, optimization, probability and statistics that are used in machine learning.



Interpretable Machine Learning


Interpretable Machine Learning
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Author : Christoph Molnar
language : en
Publisher: Lulu.com
Release Date : 2020

Interpretable Machine Learning written by Christoph Molnar and has been published by Lulu.com this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020 with Computers categories.


This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project.



The Robotic Process Automation Handbook


The Robotic Process Automation Handbook
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Author : Tom Taulli
language : en
Publisher: Apress
Release Date : 2020-02-28

The Robotic Process Automation Handbook written by Tom Taulli and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-28 with Computers categories.


While Robotic Process Automation (RPA) has been around for about 20 years, it has hit an inflection point because of the convergence of cloud computing, big data and AI. This book shows you how to leverage RPA effectively in your company to automate repetitive and rules-based processes, such as scheduling, inputting/transferring data, cut and paste, filling out forms, and search. Using practical aspects of implementing the technology (based on case studies and industry best practices), you’ll see how companies have been able to realize substantial ROI (Return On Investment) with their implementations, such as by lessening the need for hiring or outsourcing. By understanding the core concepts of RPA, you’ll also see that the technology significantly increases compliance – leading to fewer issues with regulations – and minimizes costly errors. RPA software revenues have recently soared by over 60 percent, which is the fastest ramp in the tech industry, and they are expected to exceed $1 billion by the end of 2019. It is generally seamless with legacy IT environments, making it easier for companies to pursue a strategy of digital transformation and can even be a gateway to AI. The Robotic Process Automation Handbook puts everything you need to know into one place to be a part of this wave. What You'll Learn Develop the right strategy and plan Deal with resistance and fears from employees Take an in-depth look at the leading RPA systems, including where they are most effective, the risks and the costs Evaluate an RPA system Who This Book Is For IT specialists and managers at mid-to-large companies



Fundamentals Of Software Architecture


Fundamentals Of Software Architecture
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Author : Mark Richards
language : en
Publisher: O'Reilly Media
Release Date : 2020-01-28

Fundamentals Of Software Architecture written by Mark Richards and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-01-28 with Computers categories.


Salary surveys worldwide regularly place software architect in the top 10 best jobs, yet no real guide exists to help developers become architects. Until now. This book provides the first comprehensive overview of software architecture’s many aspects. Aspiring and existing architects alike will examine architectural characteristics, architectural patterns, component determination, diagramming and presenting architecture, evolutionary architecture, and many other topics. Mark Richards and Neal Ford—hands-on practitioners who have taught software architecture classes professionally for years—focus on architecture principles that apply across all technology stacks. You’ll explore software architecture in a modern light, taking into account all the innovations of the past decade. This book examines: Architecture patterns: The technical basis for many architectural decisions Components: Identification, coupling, cohesion, partitioning, and granularity Soft skills: Effective team management, meetings, negotiation, presentations, and more Modernity: Engineering practices and operational approaches that have changed radically in the past few years Architecture as an engineering discipline: Repeatable results, metrics, and concrete valuations that add rigor to software architecture



Python For Bioinformatics


Python For Bioinformatics
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Author : Sebastian Bassi
language : en
Publisher: CRC Press
Release Date : 2017-08-07

Python For Bioinformatics written by Sebastian Bassi and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-08-07 with Mathematics categories.


In today's data driven biology, programming knowledge is essential in turning ideas into testable hypothesis. Based on the author’s extensive experience, Python for Bioinformatics, Second Edition helps biologists get to grips with the basics of software development. Requiring no prior knowledge of programming-related concepts, the book focuses on the easy-to-use, yet powerful, Python computer language. This new edition is updated throughout to Python 3 and is designed not just to help scientists master the basics, but to do more in less time and in a reproducible way. New developments added in this edition include NoSQL databases, the Anaconda Python distribution, graphical libraries like Bokeh, and the use of Github for collaborative development.