Engineering pathways (21 Ergebnisse)
Sprache: Englisch
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Paperback. Zustand: new. Paperback. Are you still building ESP32 projects that work on your desk. but fall apart in the real world?Have you ever asked yourself why some embedded systems run flawlessly for years-handling unstable networks, power fluctuations, and scaling demands-while others fail quietly after deployment?What if…the difference isn't the hardware. but the way the system is engineered?Engineering with ESP32: Designing Scalable, Secure, and High-Performance Embedded Systems for Real-World IoT Applications with ESP-IDF, FreeRTOS, and Advanced Firmware Development by Byron K. Gill is not another beginner-friendly introduction. It is a professional blueprint for engineers who want to build systems that survive reality-not just pass tests.This book speaks directly to a critical question: Are you designing firmware. or engineering systems?Because there's a difference.Most resources teach you how to connect sensors, send data, and blink LEDs. But what happens when your device runs for 6 months straight? When memory fragments? When network conditions degrade? When updates fail mid-deployment? When you scale from one device to ten thousand?This book answers those questions before they become failures.You'll be guided through the complete lifecycle of ESP32 systems-from architecture to deployment-with a level of depth that reflects real engineering environments, not hobby experimentation.You'll explore: How to design firmware architectures that remain clean, modular, and maintainable even as complexity growsHow to use real-time systems properly, avoiding the hidden traps of concurrency, race conditions, and scheduling failuresHow to engineer memory stability so your system doesn't crash after hours, days, or weeks of uptimeHow to build networking systems that don't collapse in unreliable environmentsHow to implement security that holds up under scrutiny-not just checkboxes enabled in configurationHow to design power-efficient systems that behave predictably in real deployment conditionsHow to manage storage, prevent data corruption, and extend flash lifespanHow to deploy OTA updates safely without bricking devicesHow to debug systems that only fail in production-when you can't attach a debuggerBut it goes further.What happens when your system needs to scale?This book breaks down fleet management, cloud integration, device identity, and monitoring at scale-so your architecture doesn't become your bottleneck.What happens when hardware meets reality?You'll learn how to design for manufacturing, handle EMI/EMC concerns, and ensure your devices perform outside controlled lab environments.What happens when technology evolves?You'll explore edge intelligence, distributed systems, and forward-looking design strategies that keep your work relevant as the industry moves forward.And perhaps most importantly: Why do so many ESP32 systems fail after deployment-and how do you ensure yours doesn't?This book doesn't avoid that question. It confronts it directly, with real failure scenarios, practical fixes, and engineering strategies that are rarely discussed but always needed.You are not just learning what works-you are learning what breaks, why it breaks, and how to design systems that refuse to fail.If you are serious about moving beyond prototypes.If you want to write firmware that runs reliably in the field.If you want to design systems that scale, adapt, and endure.Then this book is not optional-it's foundational.So ask yourself honestly: are you ready Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2026
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Paperback. Zustand: new. Paperback. Are you still building ESP32 projects that work on your desk. but fall apart in the real world?Have you ever asked yourself why some embedded systems run flawlessly for years-handling unstable networks, power fluctuations, and scaling demands-while others fail quietly after deployment?What if…the difference isn't the hardware. but the way the system is engineered?Engineering with ESP32: Designing Scalable, Secure, and High-Performance Embedded Systems for Real-World IoT Applications with ESP-IDF, FreeRTOS, and Advanced Firmware Development by Byron K. Gill is not another beginner-friendly introduction. It is a professional blueprint for engineers who want to build systems that survive reality-not just pass tests.This book speaks directly to a critical question: Are you designing firmware. or engineering systems?Because there's a difference.Most resources teach you how to connect sensors, send data, and blink LEDs. But what happens when your device runs for 6 months straight? When memory fragments? When network conditions degrade? When updates fail mid-deployment? When you scale from one device to ten thousand?This book answers those questions before they become failures.You'll be guided through the complete lifecycle of ESP32 systems-from architecture to deployment-with a level of depth that reflects real engineering environments, not hobby experimentation.You'll explore: How to design firmware architectures that remain clean, modular, and maintainable even as complexity growsHow to use real-time systems properly, avoiding the hidden traps of concurrency, race conditions, and scheduling failuresHow to engineer memory stability so your system doesn't crash after hours, days, or weeks of uptimeHow to build networking systems that don't collapse in unreliable environmentsHow to implement security that holds up under scrutiny-not just checkboxes enabled in configurationHow to design power-efficient systems that behave predictably in real deployment conditionsHow to manage storage, prevent data corruption, and extend flash lifespanHow to deploy OTA updates safely without bricking devicesHow to debug systems that only fail in production-when you can't attach a debuggerBut it goes further.What happens when your system needs to scale?This book breaks down fleet management, cloud integration, device identity, and monitoring at scale-so your architecture doesn't become your bottleneck.What happens when hardware meets reality?You'll learn how to design for manufacturing, handle EMI/EMC concerns, and ensure your devices perform outside controlled lab environments.What happens when technology evolves?You'll explore edge intelligence, distributed systems, and forward-looking design strategies that keep your work relevant as the industry moves forward.And perhaps most importantly: Why do so many ESP32 systems fail after deployment-and how do you ensure yours doesn't?This book doesn't avoid that question. It confronts it directly, with real failure scenarios, practical fixes, and engineering strategies that are rarely discussed but always needed.You are not just learning what works-you are learning what breaks, why it breaks, and how to design systems that refuse to fail.If you are serious about moving beyond prototypes.If you want to write firmware that runs reliably in the field.If you want to design systems that scale, adapt, and endure.Then this book is not optional-it's foundational.So ask yourself honestly: Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2026
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Paperback. Zustand: new. Paperback. What if building intelligent, production-ready software systems wasn't reserved for elite engineers or large research teams? What if you could design, scale, and deploy powerful AI-driven applications with confidence-even if you're still finding your footing?You've probably asked yourself: Whe…re do I even begin with AI architecture?Do you start with models? Infrastructure? APIs?And more importantly-how do you avoid building something that breaks under real-world pressure?"Claude Code Architecture: Designing Intelligent, Scalable, and Production-Ready Software Systems with AI" by Elmer H. Espinosa is not just another technical book-it is a guided pathway from uncertainty to mastery.Have you noticed how most books either overwhelm you with theory or throw you into fragmented code without context?Or worse-how they assume you already understand distributed systems, scaling strategies, and AI integration?This book takes a different approach-one that respects where you are right now while clearly showing you where you can go.Imagine being able to: Design AI-powered systems that don't just work-but scale reliablyUnderstand how modern AI components fit together in real production environmentsBuild applications that are not only intelligent, but resilient, efficient, and maintainableMove beyond experimentation and into real-world deployment with confidenceThis is the transformation this book is built to deliver.But let's be honest-are you worried that AI system design is too complex?That terms like orchestration, inference pipelines, and distributed architectures sound intimidating?That's exactly why this guide stands out.Instead of abstract explanations, you're led through practical, real-world scenarios that mirror how systems are actually built today.Every concept is grounded in application. Every explanation connects to something you can implement.You're not just learning what works-you're learning why it works and how to apply it immediately.And here's what makes this book distinctly different from others you've seen: It bridges the gap between coding and architecture.Many resources teach you how to write code-but very few teach you how to design systems that survive scale, complexity, and real users.It is structured for clarity, not confusion.No unnecessary jargon. No assumptions that leave you behind. Just a clean, progressive path that builds your confidence step by step.It reflects modern AI development practices.Not outdated patterns. Not theoretical speculation. But approaches aligned with how intelligent systems are being designed and deployed today.As you move through the book, something shifts.You stop asking, "Can I really build something like this?"And start thinking, "How far can I take this?"You begin to see architecture not as an abstract discipline, but as a practical toolkit-one that empowers you to make better decisions, design smarter systems, and avoid costly mistakes before they happen.And perhaps most importantly.You gain the confidence to move from learning to building-without hesitation.So let me ask you one final question: Are you ready to stop piecing together scattered tutorials and finally understand how to build intelligent, scalable systems the right way?If you're serious about mastering AI-driven software design, this book is your starting point-and your advantage.Take the next step.Invest in your skills.And start building systems that don't just work-but truly perform.</p Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
Verlag: Independently Published, 2026
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Paperback. Zustand: new. Paperback. If you have ever stood inside a ship's engine room during maneuvering operations, heard alarms cascade across monitoring panels, or watched experienced engineers diagnose machinery failures with calm precision under pressure, then you already know something many textbooks never truly explain:…Marine engineering is not just about machinery.It is about judgment, operational awareness, discipline, and decision-making when failure is not an option.Do engine room systems still feel more confusing onboard than they did in training?Have you studied machinery theory yet struggled when real alarms, failures, or operational problems appeared without warning?Do you want to operate like a confident engineering officer instead of simply following routines and checklists?If those questions feel familiar, this book was written for you.Marine Engineering for Ship Operations is a practical, real-world guide built around the realities of modern commercial shipping - not outdated theory, simplified classroom explanations, or exam-focused memorization disconnected from life at sea.This book bridges the gap between maritime academy learning and real vessel operations, between machinery theory and practical troubleshooting, and between technical procedures and operational decision-making under pressure.Many engineers leave training with technical knowledge yet still feel uncertain inside a live engine room where propulsion systems, automation, electrical distribution, fuel handling, cooling systems, lubrication management, and maintenance operations continuously interact under demanding conditions.Real confidence comes from learning why systems behave the way they do, how failures develop, and how experienced engineers think during time-critical situations.Inside this book, you will learn how to: Operate and monitor engine room systems with confidencePerform professional watchkeeping routines used aboard commercial vesselsInterpret alarms, abnormal machinery behavior, vibration changes, and performance trendsTroubleshoot propulsion and auxiliary equipment failures systematicallyRespond effectively during blackout, fire, flooding, and propulsion-loss emergenciesConduct planned maintenance and machinery inspections using professional workflowsUnderstand pollution prevention systems and environmental compliance requirementsThink logically under pressure when multiple machinery failures occur simultaneouslyThe book also explores modern marine engineering realities including integrated automation systems, predictive maintenance, LNG and dual-fuel propulsion technologies, smart shipping diagnostics, environmental compliance systems, and cybersecurity risks affecting automated vessels.Rather than presenting marine systems as isolated subjects, this guide explains how machinery performance, maintenance quality, operational discipline, and engineering judgment combine to influence vessel reliability and safety.The maritime industry does not reward engineers who only memorize procedures.It rewards engineers who can think clearly during uncertainty, diagnose problems systematically, communicate effectively under pressure, and maintain operational control when machinery conditions deteriorate unexpectedly.If you are ready to move beyond outdated theory-heavy references and build the confidence, technical judgment, and operational competence expected of modern marine engineering professionals, then this is the book you need before your next watch begins.Start building the mindset, technical mastery, and operational confidence that separates routine operators from trusted engineering Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Sprache: Englisch
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Paperback. Zustand: new. Paperback. What if you could move from simply using AI tools. to actually designing intelligent systems that think, act, and solve problems for you?Not someday. Not after years of coding. But starting now.If you've been watching the rise of autonomous AI systems and wondering where you fit in, you're not… alone. Maybe you've asked yourself: "Do I need a deep technical background to build this?""Where do I even begin with agentic workflows?""Is there a clear, practical way to go from beginner to building real AI systems?"This book was written for that exact moment of uncertainty.Claude Opus AI Architecture for Agentic Workflows is not another abstract, theory-heavy guide that leaves you more confused than when you started. It is a practical, step-by-step blueprint designed to help you understand, design, and implement autonomous AI systems-whether you're a complete beginner or transitioning into this space.So what makes this book different?Because it doesn't assume you already know everything.Instead, it meets you where you are-and walks you forward with clarity.You won't be overwhelmed with jargon. You won't be stuck reading pages of theory with no application. And you definitely won't be left guessing how everything fits together.You'll learn by understanding how real systems are built.Inside this book, you'll discover how to: Design intelligent, agent-based systems that can reason, plan, and execute tasksBuild scalable automation workflows that go beyond simple scripts and toolsIntegrate APIs, tools, and memory systems into cohesive AI architecturesStructure multi-agent systems that collaborate and solve complex problemsDeploy production-ready AI solutions with confidenceAvoid the common mistakes that slow down most beginnersAnd most importantly.You'll finally understand how all the pieces connect.Still wondering if this is for you?If you've ever felt stuck between tutorials that are too basic and resources that are too advanced.If you've tried to learn AI but struggled to see how it translates into real-world systems.If you want to build something meaningful-not just follow instructions.Then this book is exactly what you've been looking for.This isn't just about learning AI. It's about building capability.By the time you finish, you won't just "know about" agentic workflows.You'll be able to design them.You'll be able to implement them.You'll be able to think like a systems architect.And that changes everything.Why act now?Because the shift toward autonomous AI systems is already happening.The people who understand how to design and deploy these systems won't just participate in the future-they'll shape it.The question is simple: will you be one of them?If you're ready to stop feeling overwhelmed.If you're ready to move beyond theory.If you're ready to build real, intelligent systems.Then this book is your starting point.Take the next step. Get your copy today-and start building the future of AI, one system at a time. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
