Erik Volkmann (71 results)

Soft cover. Condition: VGF. 1st Edition. A lot of six NF or better original release 5 x 7 stills. Size: 27" x 41". Book.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Taschenbuch. Condition: 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. Condition: 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.…

PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condition: new. Paperback. A hallucinated API call in a web app throws an exception. A hallucinated register value in a motor controller compiles cleanly, passes bench testing, and destroys hardware in a customer's hands three weeks later.That asymmetry is why this book exists.Cursor, GitHub Copilot, and Claude are already inside embedded teams building commercial firmware on ARM Cortex-M silicon. The question is no longer whether to use them, it's whether you're using them in a way that accounts for what AI tools genuinely cannot know: your register map, your memory budget, your interrupt priority assignments, and the timing behavior of your specific hardware under real operating conditions.This is the only book that teaches AI-assisted firmware development with the verification discipline the domain actually requires.Written for embedded engineers, not web developers with a microcontroller - it covers the full professional workflow: generating HAL and LL driver code, writing FreeRTOS tasks and synchronization primitives, prompting AI tools for interrupt service routines, debugging hard faults and race conditions with AI assistance, optimizing for flash, RAM, power, and real-time determinism, and verifying AI-generated code against the datasheet before it reaches hardware.Inside this book: - A five-layer prompting framework for firmware - hardware identity, system state, hard constraints, decomposed request, and verification instruction - that eliminates the "plausible but wrong" failure class from AI-generated peripheral code- Driver-specific review checklists for HAL/LL code covering transfer mode selection, status return handling, clock enable completeness, DMA buffer lifetime, and timeout safety- The two-gate verification workflow: datasheet review before hardware, instrumented validation after - applied consistently across all 25 chapters- AI-assisted debugging methodology for hard faults, logic analyzer captures, race conditions, deadlocks, and priority inversion - with a structured evidence-first approach that produces falsifiable hypotheses, not confident guesses- FreeRTOS task and synchronization coverage including stack high-water-mark measurement, static versus dynamic allocation, mutex versus binary semaphore selection, and documented lock-ordering to eliminate deadlock risk- Memory-budget discipline that counteracts AI tools' systematic bias toward memory-generous patterns - const correctness, linker map monitoring, heap fragmentation risk, and static allocation strategy- Peripheral configuration pitfall maps for GPIO, UART, SPI, I2C, and ADC/DAC - the board-specific facts AI tools cannot infer and will silently default incorrectly without- A layered static verification pipeline: compiler warnings, cppcheck/clang-tidy, MISRA C, and a structured AI-augmented review checklist that catches architectural defects traditional tools cannot flag- A capstone sensor-to-cloud STM32 project using AI tooling end-to-end, with every verification gate applied- Bonus: a complete prompt library - ready-to-use five-layer templates for every major firmware task category, pre-loaded with the hardware context that makes AI output reliableWho this book is for: Embedded engineers - junior or senior - working with STM32, ARM Cortex-M, and FreeRTOS who are already using or evaluating AI coding tools and need a disciplined, production-grade workflow rather than tutorial-level examples. Also valuable for engineering leads establishing team standards for AI-assisted firmware development, and for engineers moving into safety-adjacent domains where "it compiled and ran on the bench" is not an acceptable quality bar.If you want to ship firmware faster without generating a new class of field Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Taschenbuch. Condition: 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. Condition: 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. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.

Taschenbuch. Condition: Neu. Neuware.