Mastering Agentic Ai Advanced Techniques
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Mastering Agentic Ai Advanced Techniques
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Author : Anand Vemula
language : en
Publisher: Anand Vemula
Release Date :
Mastering Agentic Ai Advanced Techniques 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.
Mastering Agentic AI: Advanced Techniques delves into the cutting-edge methodologies for designing, developing, and deploying autonomous AI agents capable of self-improvement, decision-making, and adaptive learning. This book provides a deep exploration of agentic AI, distinguishing it from traditional AI systems by emphasizing autonomy, goal-driven behavior, and self-directed learning. The book covers key architectural principles, including cognitive models, reinforcement learning, and multi-agent collaboration. It explores frameworks such as OpenAI Gym, TensorFlow Agents, and LangChain, equipping readers with the tools to build intelligent AI systems. Practical implementation strategies are discussed, including optimizing agentic behavior for real-world applications in business automation, healthcare, finance, and cybersecurity. Advanced topics such as ethical considerations, safety mechanisms, and explainability in agentic AI are addressed to ensure responsible AI development. The book also covers integration with large language models (LLMs) and retrieval-augmented generation (RAG) systems to enhance decision-making capabilities. Through case studies, best practices, and future trends, Mastering Agentic AI: Advanced Techniques serves as an essential guide for AI researchers, engineers, and business leaders aiming to harness the power of autonomous AI agents. Whether developing self-learning systems or optimizing agentic AI for enterprise solutions, this book provides a comprehensive roadmap for mastering next-generation AI technologies.
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
Agentic Ai Powered Computational Lithography Advancing Mask Optimization Strategies For Next Generation Transistor Scaling
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Author : Botlagunta Preethish Nanan
language : en
Publisher: Caneda Global Journal Group
Release Date :
Agentic Ai Powered Computational Lithography Advancing Mask Optimization Strategies For Next Generation Transistor Scaling written by Botlagunta Preethish Nanan and has been published by Caneda Global Journal Group this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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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.
Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains
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Author :
language : en
Publisher: BUDHA PUBLICATION
Release Date :
Next Gen Retail And Manufacturing Agentic Ai Digital Twins And Smart Supply Chains written by and has been published by BUDHA PUBLICATION this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
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Data Science Interview Mastery 200 Generative Ai Deep Learning Nlp Q A To Ace Your Next Tech Interview
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Author : Ravi Kiran
language : en
Publisher: Ravi Kiran
Release Date :
Data Science Interview Mastery 200 Generative Ai Deep Learning Nlp Q A To Ace Your Next Tech Interview written by Ravi Kiran and has been published by Ravi Kiran this book supported file pdf, txt, epub, kindle and other format this book has been release on with Business & Economics categories.
🚀 Master Your Next Data Science Interview with Generative AI, Deep Learning & NLP Expertise! Are you preparing for a data science, machine learning, or AI interview at top tech companies like FAANG, Microsoft, or cutting-edge startups? This book is your ultimate weapon to tackle the toughest questions on Generative AI, Deep Learning, and Natural Language Processing (NLP)—all in one place! 🔥 What’s Inside? ✔ 200+ Real Interview Questions – Carefully curated from top tech companies and industry trends. ✔ In-Depth Answers – Clear, concise, and expert-backed explanations to boost your confidence. ✔ Generative AI Focus – Master LLMs (GPT, Gemini, Claude), Diffusion Models, RAG, and Fine-Tuning. ✔ Deep Learning & NLP Deep Dive – Convolutional Networks (CNNs), Transformers, BERT, Attention Mechanisms, and more! ✔ FAANG & Big Tech Ready – Questions patterned after Google, Meta, OpenAI, and AI research labs. ✔ Practical Coding & Theory – Balance between conceptual understanding and hands-on implementation. 🎯 Who Is This Book For? Aspiring Data Scientists & ML Engineers prepping for interviews. AI Researchers & NLP Specialists expanding their knowledge. Tech Professionals transitioning into Generative AI & Deep Learning roles. Computer Science Students preparing for campus placements & internships. 💡 Why Choose This Guide? ✅ Up-to-date with 2024 AI trends – Covers the latest in ChatGPT, LangChain, Vector DBs, and MLOps. ✅ Structured Learning Path – From fundamentals to advanced system design & case studies. ✅ Proven Success – Designed by industry experts who’ve aced and conducted top-tier interviews. 📈 Don’t Leave Your Dream Job to Chance—Prepare Like a Pro! Grab your copy now and CRACK your next Data Science & AI Interview with confidence!
Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure
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Author : Raviteja Meda
language : en
Publisher: Global Pen Press UK
Release Date :
Transforming Retail And Paint Manufacturing Supply Chains Through Agentic Ai Machine Learning And Intelligent Data Infrastructure written by Raviteja Meda 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 Agentic Llm
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Author : Ronald Taylor
language : en
Publisher: Independently Published
Release Date : 2025-03-09
Mastering Agentic Llm 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 2025-03-09 with Computers categories.
Mastering Agentic LLM: A Step-by-Step Practical Blueprint to Building Self-Directed AI Systems That Act Independently and Solve Your Digital Challenges is your definitive guide to the next generation of intelligent automation. This book demystifies Agentic AI-from cutting-edge RAG systems and cognitive frameworks to practical implementations using Python and large language models-by offering a comprehensive, hands-on approach to designing self-directed AI workflows and intelligent systems for real-world applications. Drawing on the latest research and practical insights, this guide covers everything from the fundamentals of natural language processing to advanced techniques in multi-agent systems and autonomous AI. You'll discover how to build agentic workflows, master modern agentic architectures, and harness the power of foundation models to revolutionize project management and intelligent automation. With detailed step-by-step instructions, this practical guide empowers you to innovate with AI, design machine learning systems that are production-ready, and develop iterative processes that make your applications future-proof. Whether you're an AI engineer looking to build wealth through cutting-edge technology, a business leader seeking to streamline operations with intelligent automation workflows, or a tech enthusiast eager to explore the frontier of agentic AI systems, this book offers the tools, techniques, and insights you need to succeed in today's competitive digital landscape. Take action now and join the AI revolution-unlock your potential to build autonomous, self-directed systems that not only think but also act independently. Elevate your skills, drive innovation, and become a leader in the new era of Agentic AI. Order your copy today and start building the future of intelligent automation!
Llm Design Patterns
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Author : Ken Huang
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-30
Llm Design Patterns written by Ken Huang 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 2025-05-30 with Computers categories.
Explore reusable design patterns, including data-centric approaches, model development, model fine-tuning, and RAG for LLM application development and advanced prompting techniques Key Features Learn comprehensive LLM development, including data prep, training pipelines, and optimization Explore advanced prompting techniques, such as chain-of-thought, tree-of-thought, RAG, and AI agents Implement evaluation metrics, interpretability, and bias detection for fair, reliable models Print or Kindle purchase includes a free PDF eBook Book DescriptionThis practical guide for AI professionals enables you to build on the power of design patterns to develop robust, scalable, and efficient large language models (LLMs). Written by a global AI expert and popular author driving standards and innovation in Generative AI, security, and strategy, this book covers the end-to-end lifecycle of LLM development and introduces reusable architectural and engineering solutions to common challenges in data handling, model training, evaluation, and deployment. You’ll learn to clean, augment, and annotate large-scale datasets, architect modular training pipelines, and optimize models using hyperparameter tuning, pruning, and quantization. The chapters help you explore regularization, checkpointing, fine-tuning, and advanced prompting methods, such as reason-and-act, as well as implement reflection, multi-step reasoning, and tool use for intelligent task completion. The book also highlights Retrieval-Augmented Generation (RAG), graph-based retrieval, interpretability, fairness, and RLHF, culminating in the creation of agentic LLM systems. By the end of this book, you’ll be equipped with the knowledge and tools to build next-generation LLMs that are adaptable, efficient, safe, and aligned with human values. What you will learn Implement efficient data prep techniques, including cleaning and augmentation Design scalable training pipelines with tuning, regularization, and checkpointing Optimize LLMs via pruning, quantization, and fine-tuning Evaluate models with metrics, cross-validation, and interpretability Understand fairness and detect bias in outputs Develop RLHF strategies to build secure, agentic AI systems Who this book is for This book is essential for AI engineers, architects, data scientists, and software engineers responsible for developing and deploying AI systems powered by large language models. A basic understanding of machine learning concepts and experience in Python programming is a must.
The Art Of Ai Product Development
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Author : Janna Lipenkova
language : en
Publisher: Simon and Schuster
Release Date : 2025-07-29
The Art Of Ai Product Development written by Janna Lipenkova 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 2025-07-29 with Computers categories.
A hands-on guide for delivering value with AI-driven products! Learn how AI can improve content creation, accelerate data analysis, and upgrade process automation. The Art of AI Product Development offers a clear, practical approach to creating products that use AI. It provides real-world guidance on defining your AI strategy, developing useful AI features, and supporting user trust and adoption. Rather than chasing trends, the book focuses on core principles and long-term thinking—foundations that remain relevant as the field evolves. Inside The Art of AI Product Development, you will learn vital skills for the effective use of AI, including: • Identifying market and business opportunities for AI • Gaining an in-depth understanding of modern AI approaches, incl. predictive AI, LLMs, Retrieval-Augmented Generation, and agent systems • Assembling AI solutions that work, without the hype • Efficiently communicating with data scientists and ML engineers • Designing user-friendly AI interfaces that emphasize trust and transparency • Implementing safe, ethical AI with proper governance processes The Art of AI Product Development is written for product managers, tech executives, UX designers, and anyone responsible for the success of an AI-driven product. It introduces a broad spectrum of AI opportunities and case studies from different domains such as marketing, supply chain, and logistics. You’ll carefully progress from initial design conversations, through to efficient and secure development, and on to deployment and day-to-day management of AI-driven applications. About the technology Integrating AI into your software and processes can create real value for your business and its customers—if you do it right. When you’re on the hook for delivering AI-enabled products, you’ll need to spot high-impact opportunities, work effectively with engineers, design user-centric features, avoid common project failures, and manage real-world launches. This book shows you how. About the book The Art of AI Product Development gives you a clear framework, practical tools, and real-world examples to build confidence and succeed with new AI projects—even if you’re tackling AI for the first time. You’ll love the practical use cases and end-to-end scenarios from domains such as marketing, supply chain management, and sustainability. What's inside • Ideate, shape, and prioritize AI opportunities • Develop AI systems with techniques such as prompt engineering, RAG, and predictive AI • Communicate with different AI stakeholders and promote AI adoption About the reader Written for software product managers, business-oriented engineers, UX designers, startup founders, and anyone responsible for developing, designing, or marketing AI products. No experience with AI required. About the author Dr. Janna Lipenkova is the founder of an AI and analytics business where she has successfully managed AI projects for world-class companies like BMW, Lufthansa, and Volkswagen. Table of Contents Part 1 1 Creating value with AI-driven products 2 Discovering and prioritizing AI opportunities 3 Mapping the AI solution space Part 2 4 Predictive AI 5 Exploring and evaluating language models 6 Prompt engineering 7 Search and retrieval-augmented generation 8 Fine-tuning language models 9 Automating workflows with agentic AI Part 3 10 AI user experience: Designing for uncertainty 11 AI governance 12 Working with your stakeholders Appendix A AI development toolbox Get a free eBook (PDF or ePub) from Manning as well as access to the online liveBook format (and its AI assistant that will answer your questions in any language) when you purchase the print book.