Agentic Ai Engineering
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Agentic Ai Engineering With Rag And Mcp
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Author : Clifford C Sowders
language : en
Publisher: Independently Published
Release Date : 2025-09-17
Agentic Ai Engineering With Rag And Mcp written by Clifford C Sowders and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-17 with Computers categories.
Agentic AI Engineering with RAG and MCP: From Modular Pipelines to Intelligent Automation Are you struggling to turn raw AI potential into practical, production-grade solutions that actually move the needle for your business? The explosion of large language models and retrieval-augmented systems has changed the game, but real-world results still hinge on smart engineering-connecting data, models, and tools into seamless, scalable workflows. The future isn't about isolated prompts. It's about intelligent, agent-driven architectures that learn, adapt, and automate the work that matters. Agentic AI Engineering with RAG and MCP is your hands-on guide to building next-generation systems using Retrieval-Augmented Generation (RAG) and the Model Context Protocol (MCP). This book shows you how to move beyond demo scripts and fragmented pipelines, teaching you to design modular, composable AI agents that can reason, retrieve, and act on real data-safely, efficiently, and at scale. Inside, you'll master the practical patterns powering today's best AI products: Set up robust RAG pipelines with fast retrieval, semantic embeddings, and efficient vector stores. Register, expose, and secure powerful tools and APIs through MCP, supporting everything from document search to web actions and code execution. Engineer agents that chain tools, manage memory, personalize experiences, and adapt to complex multi-tenant environments. Integrate security, monitoring, and error-handling from day one, avoiding the pitfalls that stall real deployments. Scale effortlessly: from one agent and a handful of tools to cloud-scale architectures and high-load, multi-client operations. Harness advanced techniques-hybrid models, proactive tool discovery, and multimodal workflows-ready for production. Whether you're an AI engineer, architect, or a team lead aiming to deliver AI that works for real people, this book provides the code, architecture, and mental models to get you there-without hype or hand-waving.
Agentic Ai Engineering
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Author : Yi Zhou
language : en
Publisher: Argolong Publishing
Release Date : 2025-09-05
Agentic Ai Engineering written by Yi Zhou and has been published by Argolong Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-05 with Computers categories.
Discover how Software Engineering is transforming into Agentic Engineering, the new discipline for building Production-Grade, Enterprise-Grade, and Regulatory-Grade intelligent systems. Most AI agents shine in controlled demos but collapse in production. They hallucinate confidently, drift off tasks, or fail silently without explanation. The problem is not intelligence but fragility. Agentic AI Engineering delivers the missing discipline, showing how to build systems that are resilient, auditable, and trustworthy across real-world environments. At its heart, the book reveals how software engineering evolves into agentic engineering. Where traditional software aimed for deterministic correctness, agentic systems must reason under uncertainty, adapt across shifting contexts, and continuously prove alignment. This evolution demands new foundations, new practices, and new roles. The central framework, the Agentic Stack, shows how to take agents from fragile prototypes to systems that can stand up to audits and scale without breaking. It demonstrates how to move deliberately up the maturity ladder: first to production-grade, where agents are contained and observable, then to enterprise-grade, where they integrate safely across organizations, and ultimately to regulatory-grade, where they can withstand external scrutiny and prove compliance in motion. The book goes beyond technical mechanics to address the organizational transformation required. It reframes product management around the economics of cognition, redefines operations as AgentOps, and advances quality assurance into the practice of proving not just outputs but reasoning itself. It shows how traditional agile squads must evolve into agentic teams, designed with architects, context engineers, and cognitive reliability leads who engineer not only systems but trust. The journey closes with the future horizon. Agents will not remain isolated utilities but will interconnect into adaptive ecosystems and, eventually, operating fabrics of intelligence. In this world, every application becomes an agent, and every system becomes accountable by design. Agentic AI Engineering is written for AI engineers and architects, yet it also provides vital perspective for executives, product leaders, and investors. More than a manual, it is a manifesto for the next era of technology.
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.
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 For Developers
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Author : Newman Chandler
language : en
Publisher: Independently Published
Release Date : 2025-08-23
Agentic Ai Engineering For Developers written by Newman Chandler and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-08-23 with categories.
Agentic AI Engineering for Developers: Design, Deploy, and Optimize Modular AI Agents with LangChain, RAG, and Local-First Ollama Workflows How do you move from clever prototypes to production-grade AI systems that developers can trust? Stateless prompts and brittle scripts aren't enough when your applications demand reliability, privacy, and cost control. Agentic AI Engineering for Developers is the practical playbook for building modular, stateful AI agents that are ready for real-world deployment. With a focus on LangChain, LangGraph, retrieval-augmented generation (RAG), and local-first Ollama workflows, this book equips you to design, deploy, and optimize agents that think, adapt, and perform with engineering discipline. You'll learn proven patterns that make your systems both powerful and manageable: Structure agents with modular components that are easy to test, swap, and scale. Implement Agentic RAG pipelines that intelligently decide when retrieval is necessary. Build GraphRAG architectures that combine knowledge graphs with vector search for multi-hop reasoning. Switch seamlessly between OpenAI's cloud APIs and Ollama's local models to balance portability, performance, and cost. Apply production safeguards: schemas for tools, idempotent handlers, circuit breakers, and dry runs. Monitor your systems with LangSmith, define golden tests, and set cost and latency thresholds directly in CI/CD pipelines. Integrate human-in-the-loop checkpoints, review flows, and privacy-first strategies to keep sensitive data under your control. Agentic AI Engineering for Developers: Design, Deploy, and Optimize Modular AI Agents with LangChain, RAG, and Local-First Ollama Workflows Clear explanations, runnable code, and engineering best practices ensure you can apply every technique immediately. Instead of one-off hacks, you'll gain the skills to architect agents that are observable, resilient, and portable from day one. Whether you're building intelligent assistants, enterprise knowledge systems, or domain-specific automation, this book helps you take the leap from fragile experiments to production-ready agents. If you're ready to engineer AI agents that perform reliably in the environments where it matters most, this is your guide. Get your copy today and start building agents with LangChain, RAG, and Ollama that developers and users, can trust.
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 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.
The Ultimate Ai Engineering Bible
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Author : Adrian K Steele
language : en
Publisher: Independently Published
Release Date : 2025-12-05
The Ultimate Ai Engineering Bible written by Adrian K 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 2025-12-05 with Business & Economics categories.
This book is a practical, end-to-end guide to the new age of Agentic AI-where large language models evolve beyond chatbots into powerful autonomous systems capable of reasoning, planning, using tools, and collaborating across complex workflows. Designed for innovators, engineers, founders, and creators, it breaks down the entire lifecycle of building intelligent agents, from prompt architecture and Python orchestration to RAG, fine-tuning, safety alignment, monitoring, and large-scale deployment. Through practical frameworks, visual mental models, and production-grade blueprints, you'll learn how to build agents that can search, plan, reflect, correct themselves, use APIs, interact with knowledge bases, coordinate with other agents, and run long-horizon tasks with memory and autonomy. You'll also explore the business side of AI-how to turn these systems into profitable SaaS products, how to scale, how to design guardrails, and how to align agents with human intent. By the end, you'll understand not only how agentic systems work, but also how to architect real-world solutions, automate workflows, launch AI-powered products, and build the next generation of intelligent platforms. This is the ultimate roadmap for anyone ready to create, deploy, and monetize cutting-edge AI 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 Playbook
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Author : Tommy M Mayer
language : en
Publisher: Independently Published
Release Date : 2025-11-07
Agentic Ai Playbook written by Tommy M Mayer and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-07 with Computers categories.
Turn prompts into finished work with a playbook that teaches you how to design reliable agentic ai for real tasks. This book shows how ai agents think through goals, plan steps, and call tools so your team ships outcomes, not drafts. You will see how llm agents combine reasoning, memory, and action, and you will learn how to build ai agents that follow clear rules, respect limits, and report what they do. Practical examples walk through langchain agents and langgraph agents, while grounding results with retrieval augmented generation (rag) for accurate, source-aware output. You will discover where autonomous ai systems shine and how multi-agent systems llm patterns divide work across specialists for speed and consistency. If you care about measurable gains, you will appreciate the chapters on ai workflow automation that reduce manual clicks and errors. The book explains how to package agentic ai services that act as real ai value creators, and how to stand up an instant ai agency inside your company. New builders can learn ai step by step, from policies to prompts, while advanced readers sharpen ai agent engineering skills and tune ai for llm orchestration. Clear diagrams connect ai and llm roles with classic ai engineering practice so teams can align on design choices. You will also see how llm and ai work together in pipelines that you can share with peers and learn with ai using repeatable tests. For those scaling production tasks, the guide links ai machine learning llm concepts to operations that matter, including cost, latency, and quality. Founders will find a path to ai & automation for entrepreneurs, including patterns for an ai sales agent that qualifies leads and writes follow-ups. Builders get hands-on methods for ai agent build while they build ai skills in safe sandboxes. You will map a clean ai agent workflow from intake to review, understand where plain ai is enough, and know when building generative ai agents pays off. Teams responsible for ai agents development will adopt checklists that support audits and uptime. Engineers can deepen agentic ai engineering practice, apply ai for engineering tasks like documentation and testing, and tie projects to outcomes that speak the language of ai & money. Across use cases, the goal stays simple. Design for clarity, verify with tests, and scale with discipline so every agent earns trust, saves time, and delivers results your users can measure.