Agentic Ai Engineering Workshop
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Agentic Ai Engineering Workshop
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Author : Sven Kohl
language : en
Publisher: Independently Published
Release Date : 2025-09-04
Agentic Ai Engineering Workshop written by Sven Kohl and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-04 with Computers categories.
Agentic AI Engineering Workshop is a transformative, masterfully crafted opus that redefines the frontier of artificial intelligence engineering. This definitive tome empowers visionary engineers, pioneering researchers, and bold innovators to conquer the complexities of agentic AI with unparalleled precision and audacity. Through an incisive blend of rigorous theoretical foundations, cutting-edge techniques, and battle-tested real-world applications, it delivers a commanding blueprint for crafting autonomous, hyper-scalable, and impregnably secure AI systems. From immersive hands-on labs forging intelligent agents to strategic masterstrokes for achieving SOC 2 compliance and harnessing revolutionary trends like edge AI, AGI, and quantum computing, this work arms you with the arsenal to dominate competitive arenas. Penned with the intellectual rigor of a seasoned academic and the pragmatic foresight of an industry titan, this book is the ultimate catalyst for those destined to lead the AI revolution with transformative impact and unassailable authority.
Agentic Ai Engineering Playbook
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Author : Landen Howe
language : en
Publisher: Independently Published
Release Date : 2025-10-20
Agentic Ai Engineering Playbook written by Landen Howe and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Computers categories.
Agentic AI Engineering Playbook: Build Production-Grade AI Agents That Ship, Scale & Stay Reliable What if your AI agents could thrive in production-scaling seamlessly, staying robust under pressure, and delivering real business value every day? Too many organizations build smart demos, only to see them crumble when real-world complexity hits. If you're ready to break free from prototypes and deploy AI agents that stand the test of time, this book is your essential blueprint. The Agentic AI Engineering Playbook gives you the hard-won, practical know-how to architect, launch, and maintain resilient AI agents that drive results-no matter your industry or stack. It strips away hype, focusing on actionable engineering patterns, field-proven strategies, and reusable code templates you can apply from day one. Inside, you'll discover: How to design durable agent state, memory, and context for reliability at scale. Proven patterns for integrating toolchains, APIs, and orchestration protocols-making your agents extensible and future-proof. Battle-tested techniques for deploying secure, governable agents in production, with clear audit trails, automated evaluation, and real-time telemetry. Cost control strategies to keep operations efficient, including caching, prompt budgets, and smart model selection. Ready-to-use code templates, evaluation playbooks, and real-world case studies spanning support, analytics, knowledge management, and large-scale automation. Step-by-step guides for versioning, rollback, hotfixing, and incident response-plus best practices for building a culture of operational excellence. Whether you're a developer, architect, or technical lead, this playbook will equip you with the knowledge and confidence to deliver reliable, scalable agentic AI-fast. Gain the skills top teams use to master drift detection, multi-agent coordination, CI/CD for agents, and more. Don't settle for AI that looks good in a demo but fails in the real world. If you're ready to engineer agents that make a difference in production-delivering reliability, transparency, and measurable impact-this is the book to put on your desk. Seize your edge. Build the agents that move your business forward-order your copy of the Agentic AI Engineering Playbook today.
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 Free with your book: PDF Copy, AI Assistant, and Next-Gen Reader 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 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 Engineering With Generative Ai
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Author : PROCLUS. ZHIROV
language : en
Publisher: Independently Published
Release Date : 2025-09-23
Agentic Ai Engineering With Generative Ai written by PROCLUS. ZHIROV and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-23 with Computers categories.
This comprehensive guide provides a structured approach to engineering agentic AI systems powered by generative AI, covering design, development, and deployment. Key chapters include: Core Concepts and Technologies: Explore frameworks like LangChain and LlamaIndex, hardware requirements, and integration with external tools. Defining Purpose and Scope: Align agents with clear objectives, success metrics, and environmental constraints Choosing the Right Model: Balance fine-tuning and prompt engineering, manage token limits, and address cost considerations Development Environment: Set up testing, debugging, and frameworks like Hugging Face Transformers Prompt Engineering: Craft effective prompts, mitigate ambiguity, and refine iteratively for task automation Agentic Workflows: Integrate generative AI with APIs, manage state, and optimize workflows Autonomy with RL: Enhance agents with reinforcement learning for adaptive decision-making Multi-Agent Systems: Design collaborative agents with specialized roles and robust communication protocols. Testing and Safety: Evaluate outputs, ensure robustness, and implement ethical guardrails Deployment and Scaling: Deploy on cloud, on-premise, or edge, with monitoring and maintenance strategies Enhanced Capabilities: Incorporate multimodal inputs, real-time adaptation, and IoT integration for advanced applications like smart home control. Ethical Design: Mitigate bias, ensure transparency, and comply with regulations like GDPR and HIPAA. By combining LLMs, Stable Diffusion, and next-gen tools, this guide equips developers to build scalable, ethical, and autonomous agents that push the boundaries of AI-driven productivity and creativity.
Agentic Ai 360 Foundations Architectures And Futures
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Author : S. R. Jena
language : en
Publisher: SRJX RESEARCH AND INNOVATION LAB LLP
Release Date : 2025-08-12
Agentic Ai 360 Foundations Architectures And Futures written by S. R. Jena and has been published by SRJX RESEARCH AND INNOVATION LAB LLP this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-12 with Computers categories.
ABOUT THE BOOK The World is witnessing a remarkable shift in the trajectory of Artificial Intelligence—from systems that merely react to stimuli or process data to agents capable of autonomous decision-making, goal pursuit, moral reasoning, and social interaction. This transformation calls for a new conceptual and practical framework: Agentic AI. The term denotes intelligent systems that operate as agents—autonomous entities with beliefs, desires, intentions, and the ability to act toward achieving objectives within dynamic environments. These agentic systems are not only reactive or predictive but deliberative and proactive. They can plan, adapt, collaborate, and even evolve in ways that mirror cognitive, emotional, and social intelligence. CHAPTERS PREFACE Why Agentic AI? Scope and Purpose of This Book How to Use This Book Part I: Foundations of Agentic Intelligence Chapter 1: Introduction to Agentic AI Chapter 2: Theoretical Underpinnings Chapter 3: Cognitive Architectures and Models Chapter 4: Autonomy and Embodiment Part II: Architectures and Engineering of Agentic Systems Chapter 5: Core Agent Architectures Chapter 6: Planning and Goal Management Chapter 7: Memory and World Models Chapter 8: Perception and Attention Mechanisms Chapter 9: Learning in Agentic AI Chapter 10: Communication and Interaction Part III: Building Agentic AI in Practice Chapter 11: Frameworks and Toolkits Chapter 12: Agent Simulation and Training Chapter 13: Ethics and Alignment Chapter 14: Agentic Failure Modes Part IV: Advanced Topics and the Future of Agentic AI Chapter 15: Agentic AI and Consciousness Chapter 16: Agent Societies and Collective Intelligence Chapter 17: Agentic AGI and Existential Risk Chapter 18: Agentic AI Applications
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.
Agentic Ai Engineering
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Author : YI. ZHOU
language : en
Publisher:
Release Date : 2025
Agentic Ai Engineering written by YI. ZHOU and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025 with categories.
Agentic Ai Engineering
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Author : Danny K Eland
language : en
Publisher: Independently Published
Release Date : 2025-11-21
Agentic Ai Engineering written by Danny K Eland and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-21 with Computers categories.
Agentic AI Engineering: Step-by-Step Guide to Building, Testing, and Deploying Autonomous AI Agents for Developers and ML Practitioners is your definitive resource to mastering the next frontier in artificial intelligence. Designed specifically for developers, machine learning engineers, and AI practitioners, this comprehensive guide unpacks the complexities of creating fully autonomous AI agents-from initial design to deployment-in clear, practical steps. Harness cutting-edge techniques and industry best practices as you learn to build reliable, scalable, and intelligent agentic systems that operate independently and efficiently. This book blends deep technical insight with actionable strategies, empowering you to innovate confidently in AI development, automation, and autonomous system design. Whether you're enhancing AI workflows or pioneering autonomous solutions, Agentic AI Engineering equips you with the tools to stay ahead in this rapidly evolving technology landscape. Written by Danny K. Eland, a respected expert in AI engineering with years of practical experience and thought leadership, this book reflects the latest advancements in AI models, architectures, and deployment strategies for 2025 and beyond. Readers will gain a strong foundation in agent design, security, ethics, and maintenance-critical elements for successful autonomous AI systems. Ideal for developers, data scientists, and AI professionals seeking to deepen their expertise in autonomous agents, this guide is both a practical manual and a visionary outlook on the future of AI technology. Elevate your skills, streamline your AI projects, and unlock new opportunities with Agentic AI Engineering-your trusted partner in navigating the future of intelligent autonomous systems.
Agentic Ai With Mcp
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Author : Nathan Steele
language : en
Publisher: Independently Published
Release Date : 2025-06-09
Agentic Ai With Mcp written by Nathan Steele and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-09 with Computers categories.
Agentic AI with MCP Build Structured Multi-Agent Systems with Model-Text Protocol Servers, LangChain, and Large Language Models Unlock the future of intelligent software systems with Agentic AI and Model-Text Protocols (MCP)-the new frontier of AI engineering. This cutting-edge guide walks you through building structured multi-agent systems using LangChain, AutoGen, CrewAI, and LLM orchestration protocols. Whether you're designing an autonomous assistant, coordinating agents for knowledge work, or scaling tools in production with FastAPI, this book offers a practical, professional blueprint grounded in real-world applications and 2025 best practices. You'll learn how to design agent workflows, implement shared memory and vector stores, coordinate tools and roles, prevent hallucinations and output leakage, and deploy agents at scale using cloud-native architectures. From MCP message schemas to role-based prompt engineering, every concept is backed with actionable examples and battle-tested implementations. Inside You'll Discover: How to architect agentic systems using MCP schemas and protocol flows Integration of LangChain memory, AutoGen histories, and vector databases Task-based collaboration with CrewAI and function-calling agents Secure design practices: sandboxing, red teaming, audit logging, and oversight Deploying scalable agents with FastAPI, Docker, Fly.io, and background services Real-world use cases: AI developer assistants, legal PDF agents, alert triage bots, and more AgentOps: Evaluating and tuning agents in production environments Who This Book Is For: AI developers and engineers working with LLMs and orchestration frameworks Backend and platform teams exploring multi-agent coordination Technical founders and automation specialists designing autonomous workflows Anyone building AI agents using LangChain, OpenAI, Claude, or custom APIs Whether you're building a single-agent tool or coordinating fleets of autonomous workers, Agentic AI with MCP is your trusted guide to building reliable, secure, and scalable agent systems.
Agentic Ai Engineering With Rag
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Author : James C Robert
language : en
Publisher: Independently Published
Release Date : 2025-10-20
Agentic Ai Engineering With Rag written by James C Robert and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-20 with Computers categories.
Agentic AI Engineering with RAG: Build Scalable Modular Pipelines for Intelligent Automation Beyond Chatbots Discover how to engineer next-generation AI systems that think, reason, and act beyond the limits of traditional chatbots. This book bridges theory and practice to help you build scalable, context-aware agentic pipelines powered by Retrieval-Augmented Generation (RAG). In a world where intelligent systems are rapidly evolving, Agentic AI Engineering with RAG equips developers, researchers, and AI practitioners with the tools and mindset to design autonomous, modular agents capable of real reasoning and adaptive problem-solving. Through a structured, hands-on approach, this book unpacks the mechanics of RAG, multi-agent collaboration, and the emerging MCP (Model Context Protocol) ecosystem. You'll learn to connect data, memory, and decision layers to create robust AI architectures that can retrieve, reason, and act with precision and transparency. From foundational principles to production-ready pipelines, every chapter blends conceptual clarity with practical code, real-world case studies, and modern frameworks helping you move from building chatbots to engineering truly agentic systems. Benefits: Master RAG architecture - Learn how to build context-driven, retrieval-augmented pipelines for precision and scalability. Design agentic systems - Implement modular, multi-agent coordination using frameworks like LangChain, LlamaIndex, and MCP. Bridge theory and code - Understand not just the "how" but also the "why" behind agentic decision-making. Production-ready templates - Access reusable blueprints and code samples for enterprise-grade deployments. Future-proof your skills - Stay ahead with insights into multimodal AI, ethical design, and next-gen automation trends. Whether you're an AI engineer, researcher, or innovator, this book will redefine how you think about automation. Start building the next generation of intelligent agents today.