Strategic Implementation Of Agentic Ai Tools Techniques And Use Cases

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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.

Azure Ai 102 Certification Essentials

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Author : Peter T. Lee
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-08-14

Azure Ai 102 Certification Essentials written by Peter T. Lee 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 2025-08-14 with Computers categories.

Go beyond AI-102 certification by mastering the foundations of Azure AI concepts and services—reinforced through practical labs and real-world examples. Key Features Solidify your understanding with targeted questions at the end of each chapter Assess your knowledge of key concepts with over 45 exam-style questions, complete with detailed explanations Get hands-on experience with GitHub projects, along with ongoing support from the author on GitHub Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionWritten by a seasoned solutions architect and Microsoft AI professional with over 25 years of IT experience, Azure AI-102 Certification Essentials will help you gain the skills and knowledge needed to confidently pass the Azure AI-102 certification exam and advance your career. This comprehensive guide covers all of the exam objectives, from designing AI solutions to integrating AI models into Azure services. By combining theoretical concepts with visual examples, hands-on exercises, and real-world use cases, the chapters teach you how to effectively apply your new-found knowledge. The book emphasizes responsible AI practices, addressing fairness, reliability, privacy, and security, while guiding you through testing AI models with diverse data and navigating legal considerations. Featuring the latest Azure AI tools and technologies, each chapter concludes with hands-on exercises to reinforce your learning, culminating in Chapter 11's comprehensive set of 45 mock questions that simulate the actual exam and help you assess your exam readiness. By the end of this book, you'll be able to confidently design, implement, and integrate AI solutions on Azure, while achieving this highly sought-after certification.What you will learn Learn core concepts relating to AI, LLMs, NLP, and generative AI Build and deploy with Azure AI Foundry, CI/CD, and containers Manage and secure Azure AI services with built-in tools Apply responsible AI using Azure AI Content Safety Perform OCR and analysis with Azure AI Vision Build apps with the Azure AI Language and Speech services Explore knowledge mining with Azure AI Search and Content Understanding Implement RAG and fine-tuning with Azure OpenAI Build agents using Azure AI Foundry Agent Service and Semantic Kernel Who this book is for If you're preparing for the Azure AI-102 certification exam, this book is for you. Developers, engineers, and career transitioners moving from traditional software development to AI-focused roles can use this guide to deepen their understanding of AI within the Azure ecosystem. This book is also beneficial for students and educators looking to apply AI/ML concepts using Azure. No prior experience in AI/ML is required as this book provides comprehensive coverage of exam topics with detailed explanations, practical examples, and hands-on exercises to build your confidence and expertise.

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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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

Generative Ai With Langchain

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Author : Ben Auffarth
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-05-23

Generative Ai With Langchain written by Ben Auffarth 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 2025-05-23 with Computers categories.

Go beyond foundational LangChain documentation with detailed coverage of LangGraph interfaces, design patterns for building AI agents, and scalable architectures used in production—ideal for Python developers building GenAI applications Key Features Bridge the gap between prototype and production with robust LangGraph agent architectures Apply enterprise-grade practices for testing, observability, and monitoring Build specialized agents for software development and data analysis Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionThis second edition tackles the biggest challenge facing companies in AI today: moving from prototypes to production. Fully updated to reflect the latest developments in the LangChain ecosystem, it captures how modern AI systems are developed, deployed, and scaled in enterprise environments. This edition places a strong focus on multi-agent architectures, robust LangGraph workflows, and advanced retrieval-augmented generation (RAG) pipelines. You'll explore design patterns for building agentic systems, with practical implementations of multi-agent setups for complex tasks. The book guides you through reasoning techniques such as Tree-of -Thoughts, structured generation, and agent handoffs—complete with error handling examples. Expanded chapters on testing, evaluation, and deployment address the demands of modern LLM applications, showing you how to design secure, compliant AI systems with built-in safeguards and responsible development principles. This edition also expands RAG coverage with guidance on hybrid search, re-ranking, and fact-checking pipelines to enhance output accuracy. Whether you're extending existing workflows or architecting multi-agent systems from scratch, this book provides the technical depth and practical instruction needed to design LLM applications ready for success in production environments.What you will learn Design and implement multi-agent systems using LangGraph Implement testing strategies that identify issues before deployment Deploy observability and monitoring solutions for production environments Build agentic RAG systems with re-ranking capabilities Architect scalable, production-ready AI agents using LangGraph and MCP Work with the latest LLMs and providers like Google Gemini, Anthropic, Mistral, DeepSeek, and OpenAI's o3-mini Design secure, compliant AI systems aligned with modern ethical practices Who this book is for This book is for developers, researchers, and anyone looking to learn more about LangChain and LangGraph. With a strong emphasis on enterprise deployment patterns, it’s especially valuable for teams implementing LLM solutions at scale. While the first edition focused on individual developers, this updated edition expands its reach to support engineering teams and decision-makers working on enterprise-scale LLM strategies. A basic understanding of Python is required, and familiarity with machine learning will help you get the most out of this book.

Ai Augmented Project Management Mastering Ai Agents For Strategic Success

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Author : Tuan M. Nguyen
language : en
Publisher: Tuan M. Nguyen
Release Date : 2025-05-26

Ai Augmented Project Management Mastering Ai Agents For Strategic Success written by Tuan M. Nguyen and has been published by Tuan M. Nguyen this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-26 with Computers categories.

In a world of accelerating project complexity, Artificial Intelligence (AI) Agents are emerging as powerful allies for project leaders seeking to elevate performance and drive strategic success. “AI-Augmented Project Management: Mastering AI Agents for Strategic Success” aims to serve as a practical and action-oriented guide for project managers to effectively leverage AI Agents to solve pressing project challenges, from planning and scheduling to risk management and resource optimization. This book provides a comprehensive framework for understanding, deploying, and integrating AI Agents across core project management areas. It emphasizes practical applications and actionable strategies to harness the power of AI Agents for predictive planning, adaptive scheduling, and stakeholder management, while also addressing data governance and ethical considerations.

Building Agentic Ai Systems

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Author : Anjanava Biswas
language : en
Publisher: Packt Publishing Ltd
Release Date : 2025-04-21

Building Agentic Ai Systems written by Anjanava Biswas 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 2025-04-21 with Computers categories.

Master the art of building AI agents with large language models using the coordinator, worker, and delegator approach for orchestrating complex AI systems Key Features Understand the foundations and advanced techniques of building intelligent, autonomous AI agents Learn advanced techniques for reflection, introspection, tool use, planning, and collaboration in agentic systems Explore crucial aspects of trust, safety, and ethics in AI agent development and applications Purchase of the print or Kindle book includes a free PDF eBook Book DescriptionGain unparalleled insights into the future of AI autonomy with this comprehensive guide to designing and deploying autonomous AI agents that leverage generative AI (GenAI) to plan, reason, and act. Written by industry-leading AI architects and recognized experts shaping global AI standards and building real-world enterprise AI solutions, it explores the fundamentals of agentic systems, detailing how AI agents operate independently, make decisions, and leverage tools to accomplish complex tasks. Starting with the foundations of GenAI and agentic architectures, you’ll explore decision-making frameworks, self-improvement mechanisms, and adaptability. The book covers advanced design techniques, such as multi-step planning, tool integration, and the coordinator, worker, and delegator approach for scalable AI agents. Beyond design, it addresses critical aspects of trust, safety, and ethics, ensuring AI systems align with human values and operate transparently. Real-world applications illustrate how agentic AI transforms industries such as automation, finance, and healthcare. With deep insights into AI frameworks, prompt engineering, and multi-agent collaboration, this book equips you to build next-generation adaptive, scalable AI agents that go beyond simple task execution and act with minimal human intervention.What you will learn Master the core principles of GenAI and agentic systems Understand how AI agents operate, reason, and adapt in dynamic environments Enable AI agents to analyze their own actions and improvise Implement systems where AI agents can leverage external tools and plan complex tasks Apply methods to enhance transparency, accountability, and reliability in AI Explore real-world implementations of AI agents across industries Who this book is for This book is ideal for AI developers, machine learning engineers, and software architects who want to advance their skills in building intelligent, autonomous agents. It's perfect for professionals with a strong foundation in machine learning and programming, particularly those familiar with Python and large language models. While prior experience with generative AI is beneficial, the book covers foundational concepts for those new to agentic systems.

Agentic Ai

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Author : Ken Huang
language : en
Publisher: Springer Nature
Release Date : 2025-07-11

Agentic Ai written by Ken Huang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-11 with Business & Economics categories.

This book analyzes the rise and transformative impact of generative AI agents or Agentic AI across industries, offering a comprehensive exploration of their development, applications, and implications. It highlights how these systems are revolutionizing business processes, enhancing decision-making, and reshaping entire sectors from finance to healthcare. It traces the evolution of AI agents from early programs to today’s sophisticated autonomous systems, providing a taxonomy of agent types. It then explores cutting-edge tools and frameworks for development, such as AutoGen, Langgraph, and CrewAI, offering practical insights for their deployment. Key focus areas include evaluating multiagent systems and coordination techniques, addressing challenges in communication, and conflict resolution. The book presents case studies from banking, insurance, healthcare, and cybersecurity, showcasing how autonomous agents are automating tasks and driving innovation. In turn, the book provides in-depth analyses of Agentic AI in emerging fields like gene editing, robotics, and business process automation, demonstrating its potential to accelerate scientific research and value creation. The discussion extends to economic ramifications, examining impacts on macroeconomic trends, microeconomic dynamics within businesses, and the emergence of decentralized, token-based economies. Throughout, thought-provoking questions encourage readers to consider the broader implications of these technological advances. The work concludes with a critical examination of related safety and security considerations, emphasizing the need for proactive measures. Maintaining a forward-looking perspective, it prompts readers to consider how these technologies might reshape industries and society, raising important questions about the changing nature of work, ethical aspects, and equitable distribution of benefits. Bridging theoretical foundations and practical applications, the book offers valuable insights for data scientists, IT managers, CIOs, CAIOs, CTOs, business analysts, and graduate students seeking to understand and apply AI’s transformative potential across various industries.

Insurtech Intelligence Ai Driven Strategies For The New Age Of Coverage

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Author : SNEHA SINGIREEDY
language : en
Publisher: JEC PUBLICATION
Release Date :

Insurtech Intelligence Ai Driven Strategies For The New Age Of Coverage written by SNEHA SINGIREEDY and has been published by JEC 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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Artificial Intelligence And Financial Transformation Unlocking The Power Of Fintech Predictive Analytics And Public Governance In The Next Era Of Economic Intelligence

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Author : Abhishek Dodda
language : en
Publisher: Deep Science Publishing
Release Date : 2025-06-06

Artificial Intelligence And Financial Transformation Unlocking The Power Of Fintech Predictive Analytics And Public Governance In The Next Era Of Economic Intelligence written by Abhishek Dodda and has been published by Deep Science Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-06 with Computers categories.

The global financial ecosystem is undergoing a profound transformation, one driven by the accelerating convergence of artificial intelligence, fintech innovation, and data-powered public governance. Artificial Intelligence and Financial Transformation: Unlocking the Power of Fintech, Predictive Analytics, and Public Governance in the Next Era of Economic Intelligence explores this dynamic intersection, where technology not only enhances operational efficiency but redefines how economies are managed, regulated, and empowered. In a world increasingly defined by digital transactions and decentralized finance, AI and predictive analytics are becoming indispensable tools for institutions seeking to navigate volatility, mitigate risk, and anticipate market behavior. Meanwhile, governments and regulatory bodies are leveraging intelligent technologies to design responsive policies, ensure transparency, and foster trust across the financial value chain. The rise of intelligent economic systems is not just a possibility—it is fast becoming a necessity. This book is designed for finance professionals, AI researchers, policy strategists, academics, and students eager to understand how digital intelligence is reshaping economic landscapes. It offers a multi-dimensional perspective on the evolution of financial services, featuring in-depth analyses of AI-enabled fintech applications, risk modeling frameworks, digital regulatory architectures, and governance mechanisms built on data-driven insights. The chapters herein blend theory and practice, spotlighting case studies from global financial hubs, innovations in central bank digital currencies (CBDCs), fraud detection algorithms, and real-time regulatory tech (RegTech). The ethical, legal, and social implications of these shifts are also critically examined, ensuring a balanced discourse on the promises and perils of algorithmic finance. As we step into a future where economic resilience and innovation go hand in hand, this book invites readers to reimagine finance—not as a static system, but as an intelligent, adaptive force for societal advancement.