Erik volkmann (14 Ergebnisse)

Taschenbuch. Zustand: Neu. Neuware - A practical guide for beginners, career-changers, and non-technical professionals who want to build reusable, portable capabilities for AI agents, without writing a single line of code.If you're using Claude or Codex today, you're probably leaving 90% of their potential untapped.Every new conversation starts the same way.You open a new chat.You explain your preferences again.You paste the same formatting rules.You describe the same workflow you already explained yesterday. and the day before.Your AI starts from zero every time.There's a better way.It takes just one file.SKILL.md is the open format quietly becoming the standard for giving AI agents reusable expertise they can load automatically, follow consistently, and carry across compatible tools.Write it once.Use it again and again.Claude can use it. Codex can use it. And the next generation of AI agents is increasingly adopting the same open approach.This is not a programming book.There are no installations.No terminal commands.No coding experience required.If you can write a checklist, you can build a practical AI skill that saves hours of repetitive work.What You'll Learn: - Build your first working SKILL.md file from scratch in under 90 minutes.- Create skills that AI agents actually recognize and use.- Design portable skills that work across Claude, Codex, and future AI agents built around the same open standard.- Avoid the common mistakes that cause custom skills to fail silently.- Turn repetitive work such as research, reports, writing, documentation, reviews, and analysis into reusable AI workflows.- Organize your expertise into assets you can reuse every day instead of rewriting instructions every time you start a chat.This Book Is Perfect For- Marketers- Business analysts- Consultants- Writers- Operations professionals- Freelancers- Project managers- Educators- Students- Anyone who relies on AI every day but has never written code, and doesn't intend to.Why This Book Is DifferentMost books about AI agents assume you're already a developer.This one doesn't.It starts from the fundamentals, avoids technical jargon, and focuses entirely on practical results.By the end, you'll have real, working AI skills you can use immediately, adapt to your own workflows, and even showcase in a professional portfolio.The AI landscape will continue to evolve.Today's tools may change.Tomorrow's models will improve.But the ability to package your knowledge into reusable AI skills is a capability that will remain valuable regardless of which platform becomes dominant.Build it once.Use it everywhere.Get your copy today and start creating AI skills that work for you every single time.…

Taschenbuch. Zustand: Neu. Neuware - Stop Treating AI Governance as a Legal Problem. It's an Engineering Problem.For technology leaders, the era of voluntary 'Responsible AI' is over. With the EU AI Act now in force and ISO/IEC 42001 becoming a strict procurement baseline, organizations face fines of up to 35 million for non-compliance. If your AI system's output affects users in the EU, you are in scope, regardless of where your headquarters is located.AI Compliance and Governance for Technology is the definitive, premium desk reference for CTOs, VPs of Engineering, and AI/ML leads. This isn't a dense legal theory book; it is a highly actionable engineering manual designed to turn regulatory text into auditable, production-ready systems. Keep this comprehensive paperback on your desk to bridge the gap between compliance mandates and technical execution.What You Will Master - The Global Patchwork: Navigate the exact enforcement timelines for the EU AI Act, ISO/IEC 42001, and emerging US state laws through 2027.- Auditable Architecture: Build continuous risk management, data governance, and technical traceability directly into your deployment pipelines.- Documentation by Design: Generate compliant Model Cards, System Cards, and Datasheets as automated byproducts of your ML workflow.- Human Oversight Engineering: Implement risk-calibrated Human-in-the-Loop (HITL) and Human-on-the-Loop systems that avoid operational rubber-stamping.- Vendor Risk Management: Master the specific contractual and technical controls required when utilizing third-party foundation models and LLM APIs- Secure Your Enterprise's Future: A startup with a brilliant model but no documented risk assessment will lose enterprise deals to a competitor with a clean ISO 42001 certificate. Retrofitting governance onto an already-deployed system takes months; building it into your architecture from day one takes weeks.Don't leave your product launches or compliance audits to chance. Add this essential technical manual to your professional library today and build AI systems that actually deserve the trust placed in them.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - You were not hired to be a PLC programmer. You were hired to keep the machines running.When a line goes down and production is bleeding money by the minute, nobody hands you a textbook. They hand you a laptop, point you at a screen full of ladder logic, and expect answers.Most maintenance technicians taught themselves to muddle through - clicking rungs, guessing at logic, hoping the fix holds. This book ends that. Ladder Logic for Industrial Maintenance Technicians gives you a structured, field-proven method for reading, interpreting, and troubleshooting PLC programs, without a programming background and without starting from scratch.What you'll be able to do after reading this book: - Go online with a live PLC and immediately understand what you're looking at- Trace power flow through any rung and identify exactly where logic is breaking down- Diagnose the four fault types that cause the vast majority of real-world machine failures- Troubleshoot timers, counters, and data comparison instructions - the instructions most technicians get wrong- Work confidently on Allen-Bradley ControlLogix, CompactLogix, MicroLogix, SLC 500, and Siemens S7-300/400/1200/1500 systems- Make safe, targeted program modifications and forced I/O changes without risking the machine or your job- Read legacy RSLogix 500 programs still running on equipment installed decades agoBuilt for the way maintenance technicians actually workThis book follows a three-part structure that mirrors real troubleshooting: first you learn to read what the program is doing, then you learn to diagnose what it's doing wrong, then you learn to modify it safely when a fix is required. Every chapter is written from a maintenance perspective - not a programmer's perspective.You won't find academic theory or IEC 61131-3 language standards here. You'll find the Four Diagnostic Questions framework that gives you a repeatable method for any fault on any machine. You'll find real fault scenarios pulled from real factory floors. And you'll find a complete platform reference section designed to sit open on your workbench.Covers both Allen-Bradley and Siemens - the two platforms running most of industryEvery concept is covered for both platforms in parallel. Whether your facility runs Rockwell, Siemens, or a mix of both, this book has you covered - including the legacy systems that nobody documented properly when they were installed.If you work in manufacturing, food and beverage, automotive, packaging, water treatment, or any facility with automated equipment - this book belongs on your toolbox.Scroll up and grab a copy today.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Every AI vendor promises 'self-healing infrastructure.' None of them tell you what actually breaks when you trust an AI agent with production.You've watched the demos. Autonomous incident response. AI that writes its own runbooks. Infrastructure that fixes itself while you sleep. And you've also watched what happens when an overconfident AI agent makes the wrong call at 3am, because vendor marketing never mentions that part.AI-Powered DevOps is the practitioner's guide the hype cycle skipped: a clear-eyed, hands-on playbook for engineers who need to actually ship AI into their DevOps and SRE workflows, not just talk about it in a planning meeting.This isn't theory. It's not another 'introduction to AI' book padded with generic explainers. It's a working system, built chapter by chapter, using real tools you already know: Claude, LangGraph, Kubernetes, and the Model Context Protocol, with full, runnable source code for every example.Inside, you'll learn how to: - Build AI agents that triage incidents and perform root-cause analysis, with a confidence-scoring model that knows when to escalate instead of guessing- Apply a 5-stage AIOps maturity model (Stage 0-4) so you know exactly how much autonomy is appropriate at each stage of your pipeline, and where full autonomy is a mistake- Design monitoring and observability systems where AI augments your SREs instead of replacing their judgment- Secure AI agents against prompt injection and tool abuse before they touch production- Govern AI-driven operations for audit, compliance, and cost (FinOps) at enterprise scale- Integrate AI into CI/CD pipelines without introducing a new class of silent failuresEvery chapter builds on the last, culminating in a full capstone project that ties the entire system together, so by the end, you're not just reading about AI-powered DevOps, you've built one.Written for: DevOps engineers, SREs, platform engineers, and engineering leaders who are done with AI hype and ready for something they can actually implement Monday morning.No filler. No vendor pitch. Just a working system, explained by someone who's actually been paged.Get the full source code and start building today.…

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware.

Taschenbuch. Zustand: Neu. Neuware - Stop fighting undefined behavior. Start shipping firmware that doesn't crash.If you've spent years writing embedded C or C++, you already know the cost of a single dangling pointer, buffer overflow, or data race: weeks of debugging with a logic analyzer, a product recall, or a 3 AM page when a device bricks itself in the field. Rust eliminates entire categories of these bugs at compile time, without sacrificing the performance or hardware control that embedded systems demand.This book is your complete, hands-on roadmap from C/C++ firmware engineer to confident embedded Rust developer.You'll go far beyond 'blink an LED.' Across 18 chapters and three full capstone projects, you'll learn to: - Master no_std Rust and bare-metal programming fundamentals: registers, memory-mapped I/O, and the embedded-hal ecosystem- Configure and drive UART, SPI, I C, ADC, PWM, and DMA on real hardware (STM32F4, nRF52840, RP2040, and ESP32-C3)- Build responsive, efficient firmware with Embassy's async/await: no RTOS, no heap, no busy-waiting- Write hard real-time systems with RTIC, including compile-time-proven deadlock freedom- Implement robust error handling, panic strategies, and on-device logging with defmt- Test embedded code without hardware using mocks, embedded-hal-mock, and model checking with Kani- Optimize for power consumption, critical for battery-powered IoT devices- Build and deploy firmware update (DFU/OTA) systems for production devicesThree complete, production-representative capstone projects, an industrial Modbus/LTE-M sensor gateway, a closed-loop motor controller, and a LoRaWAN sensor node, show you exactly how these techniques combine in real systems. Full source code is provided in a companion GitHub repository, ready to clone, flash, and modify.Whether you're a firmware engineer transitioning from C, an embedded hobbyist ready to go pro, or a systems programmer curious about Rust's growing role in IoT and real-time applications, this book gives you the practical, code-first foundation to build safer, more reliable embedded systems, starting today.Scroll up and grab your copy to start writing firmware that the borrow checker has your back on.Covers: embedded Rust, Rust microcontroller programming, no_std, RTIC, Embassy framework, STM32, nRF52840, RP2040, ESP32-C3, IoT firmware development, real-time embedded systems, Rust for embedded systems, embedded systems programming, firmware development with Rust.…

Taschenbuch. Zustand: Neu. Neuware - ¿Qué ocurre cada vez que envías una solicitud a un modelo de IA en la nube Tus datos más sensibles pasan a un proveedor externo, aceptas costos de uso impredecibles y dependes de modelos que pueden cambiar o dejar de estar disponibles sin previo avisoLocal LLM Deployment es la guía práctica y definitiva para implementar grandes modelos de lenguaje (LLM) en tu propia infraestructura, con privacidad total, funcionamiento sin conexión y control absoluto de tus sistemas de IA. Diseñado para desarrolladores, ingenieros de IA, profesionales de DevOps, administradores de sistemas y arquitectos empresariales, este libro te muestra cómo crear soluciones de IA listas para producción sin depender de servicios en la nubeEn este libro aprenderás a: - Elegir entre los formatos GGUF, AWQ y EXL2 según tu hardware y tus necesidades de rendimiento- Calcular con precisión la VRAM necesaria para evitar errores de memoria y optimizar el uso de la GPU- Implementar Ollama, LM Studio, LocalAI y vLLM para ejecutar modelos locales de forma eficiente- Construir un pipeline RAG completamente local con ChromaDB, Qdrant y modelos de embeddings sin conexión- Realizar fine-tuning de modelos mediante QLoRA, LoRA, Axolotl y LLaMA-Factory- Diseñar sistemas multiagente con enrutamiento inteligente, llamadas a funciones y flujos de trabajo avanzados- Proteger entornos privados y despliegues empresariales mediante buenas prácticas de seguridad- Supervisar, escalar y optimizar el rendimiento con Prometheus, Grafana y balanceo de carga entre múltiples GPUEste no es un libro sobre ingeniería de prompts ni una introducción básica a los chatbots. Es un manual técnico orientado a la implementación real de infraestructuras de IA locales, pensado para quienes desean comprender, controlar y mantener sus propios modelos de lenguajeAdemás, incluye recursos prácticos como: - Una calculadora de VRAM- Una guía para diagnosticar y solucionar errores frecuentes de entrenamiento- Un glosario de los conceptos esenciales de la IA modernaSi deseas ejecutar LLM de forma privada, reducir costos, proteger tus datos y construir una infraestructura de IA totalmente bajo tu control, este libro te proporcionará los conocimientos y las herramientas necesarias para lograrloEmpieza hoy mismo a desplegar tus propios modelos de IA con confianza.…

Taschenbuch. Zustand: Neu. Neuware - Ogni fornitore di AI promette un'infrastruttura 'autoriparante'. Nessuno ti spiega cosa si rompe davvero quando affidi un agente AI alla produzione.Hai visto le demo. Risposta automatica agli incidenti. AI che scrive da sola i runbook. Infrastrutture che si riparano mentre dormi.Ma hai probabilmente visto anche cosa succede quando un agente AI troppo sicuro di sé prende la decisione sbagliata alle 3 del mattino. Di questa parte, però, il marketing dei vendor non parla mai.AI-Powered DevOps è la guida pratica che mancava nel pieno del clamore sull'intelligenza artificiale: un manuale concreto e operativo per ingegneri che devono integrare realmente l'AI nei flussi di lavoro DevOps e SRE, non limitarsi a discuterne durante una riunione.Questo libro non è teoria. Non è l'ennesima introduzione all'intelligenza artificiale riempita di spiegazioni generiche. È un sistema completo, costruito capitolo dopo capitolo, utilizzando strumenti che già conosci: Claude, LangGraph, Kubernetes e il Model Context Protocol (MCP), con codice sorgente completo ed eseguibile per ogni esempio.In questo libro imparerai a: - Costruire agenti AI capaci di analizzare gli incidenti, eseguire la root cause analysis e utilizzare un modello di valutazione della confidenza che sa quando è il momento di coinvolgere un operatore umano.- Applicare un modello di maturità AIOps in cinque livelli (Stage 0-4) per stabilire il giusto grado di autonomia dell'AI e capire quando l'automazione completa rappresenta un rischio.- Progettare sistemi di monitoraggio e osservabilità in cui l'intelligenza artificiale supporta gli SRE senza sostituirne il giudizio.- Governare le operazioni basate sull'AI nel rispetto di audit, conformità normativa e controllo dei costi (FinOps) su scala enterprise.- Integrare l'intelligenza artificiale nelle pipeline CI/CD senza introdurre una nuova categoria di errori silenziosi.Ogni capitolo si basa sul precedente e conduce a un progetto finale completo che integra tutti i componenti del sistema. Alla fine del percorso non ti limiterai ad aver letto come funziona un'infrastruttura DevOps basata sull'AI: ne avrai costruita una.Ideale per: DevOps Engineer, Site Reliability Engineer (SRE), Platform Engineer, Cloud Engineer, Architetti Software e responsabili tecnici che vogliono andare oltre il marketing dell'AI e implementare soluzioni concrete fin dal primo giorno.Nessun riempitivo. Nessuna propaganda commerciale. Solo un sistema funzionante, spiegato da chi conosce davvero cosa significa essere reperibili quando la produzione va in crisi.Scarica il codice sorgente completo e inizia a costruire oggi stesso.…

Taschenbuch. Zustand: Neu. Neuware.