Rathish Mohan eBooks

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. E-book. Formato EPUB Rathish Mohan   -  Orange Education Pvt Ltd, 2025  - 

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 AWS Data EngineeringDesign, Implement and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact (English Edition). E-book. Formato EPUB Rathish Mohan   -  Orange Education Pvt Ltd, 2025  - 

Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.Key Features? Gain an in-depth understanding of essential AWS services such as S3, DynamoDB, Redshift, and Glue to build scalable data solutions.? Learn to design efficient, fault-tolerant data pipelines while adhering to best practices in cost management and security.Book DescriptionIn today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges.Throughout the chapters, you’ll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security.Whether you aim to streamline your organization’s data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.What you will learn? Design scalable data pipelines using core AWS data engineering tools.? Master data replication, partitioning, and sharding techniques on AWS.? Build fault-tolerant architectures with AWS scalability and reliability.Table of Contents1. Unveiling the Secrets of Data Engineering2. Architecting for Scalability: Data Replication Techniques3. Partitioning and Sharding: Optimizing Data Management4. Ensuring Consistency: Consensus Mechanisms and Models5. Balancing the Load: Achieving Performance and Efficiency6. Building Fault-Tolerant Architectures7. Exploring the Realm of AWS Data Storage Services8. Orchestrating Data Flow9. Advanced Data Pipelines and Transformation10. Data Warehousing Demystified11. Visualizing the Unseen12. AWS Machine Learning: Classic AI to Generative AI13. Advanced Data Engineering with AWS       IndexAbout the AuthorsRathish Mohan is a distinguished applied scientist and AI/ML leader with over a decade of experience in machine learning, natural language processing (NLP), and computer vision. Currently, he is a Senior Applied ML Scientist at Lore | Contagious Health, where he leads cross-disciplinary teams to develop advanced AI systems. Rathish specializes in real-time conversational AI and personalization, leveraging cutting-edge technologies like prefix tuning, LLMs, and RAG pipelines to improve user health and well-being.Shekhar Agrawal is a seasoned AI and data engineering expert with over 14 years of experience in leading large-scale AI, ML, and NLP initiatives across globally recognized organizations. Currently a Senior Director of Data Science at Oracle Corporation, Shekhar spearheads the development of cutting-edge Generative AI platforms and enterprise-scale machine learning systems that serve thousands of customers worldwide.Srinivasa Sunil Chippada is a Data Science Engineering expert with 18 years of experience. He offers valuable technical insights to help organizations maximize data value through Feature Stores, Data Marts, Data Pipelines, and Data Integration techniques. His expertise empowers organizations to build efficient and scalable data systems that leverage the full potential of data to drive innovation and business growth.

Ultimate AWS Data EngineeringDesign, Implement, and Optimize Scalable Data Solutions on AWS with Practical Workflows and Visual Aids for Unmatched Impact. E-book. Formato EPUB Rathish Mohan   -  Orange Education Pvt Ltd, 2025  - 

Unlock the Power of AWS Data Engineering and Build Smarter Pipelines for Data-Driven Success.Key Features? Gain an in-depth understanding of essential AWS services such as S3, DynamoDB, Redshift, and Glue to build scalable data solutions.? Learn to design efficient, fault-tolerant data pipelines while adhering to best practices in cost management and security.Book DescriptionIn today’s data-driven era, mastering AWS data engineering is key to building scalable, secure pipelines that drive innovation and decision-making. Ultimate AWS Data Engineering is your comprehensive guide to mastering the art of building robust, cost-effective, and fault-tolerant data pipelines on AWS. Designed for data professionals and enthusiasts, this book begins with foundational concepts and progressively explores advanced techniques, equipping you with the skills to tackle real-world challenges.Throughout the chapters, you’ll dive deep into the core principles of data replication, partitioning, and load balancing, while gaining hands-on experience with AWS services like S3, DynamoDB, Redshift, and Glue. Learn to design resilient data architectures, optimize performance, and ensure seamless data transformation—all while adhering to best practices in cost-efficiency and security.Whether you aim to streamline your organization’s data flow, enhance your cloud expertise, or future-proof your career in data engineering, this comprehensive guide offers the practical knowledge and insights you need to succeed. By the end, you will be ready to craft impactful, data-driven solutions on AWS with confidence and expertise.What you will learn? Design scalable data pipelines using core AWS data engineering tools.? Master data replication, partitioning, and sharding techniques on AWS.? Build fault-tolerant architectures with AWS scalability and reliability.Table of Contents1. Unveiling the Secrets of Data Engineering2. Architecting for Scalability: Data Replication Techniques3. Partitioning and Sharding: Optimizing Data Management4. Ensuring Consistency: Consensus Mechanisms and Models5. Balancing the Load: Achieving Performance and Efficiency6. Building Fault-Tolerant Architectures7. Exploring the Realm of AWS Data Storage Services8. Orchestrating Data Flow9. Advanced Data Pipelines and Transformation10. Data Warehousing Demystified11. Visualizing the Unseen12. AWS Machine Learning: Classic AI to Generative AI13. Advanced Data Engineering with AWS.