Engineered: Data, AI, and DevOps (53 risultati)

Condizione: New.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New.

Softcover. Condizione: As New. Leichte Kratzer / Abnutzungen / Druckstellen.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Condizione: As New. Unread book in perfect condition.

Paperback. Condizione: New.

Paperback. Condizione: New.

Paperback. Condizione: new. Paperback. Claude Code Pro for Developers: Unlocking the Power of AI Coding Assistants in Modern Software Engineering Are you still coding the hard way-stuck in endless cycles of boilerplate, documentation, and repetitive fixes-while others accelerate past with AI-powered tools? Developers everywhere face the same dilemma: how to keep up with modern software demands while minimizing wasted effort and cognitive overload. Claude Code Pro for Developers delivers the answer-showing you exactly how to turn an AI coding assistant into your most reliable, productive teammate.This practical guide goes far beyond generic AI promises. It's your hands-on blueprint for integrating Claude Code Pro into real-world engineering tasks, from scaffolding projects and refactoring legacy systems to writing robust tests, squashing bugs, and collaborating across teams. Every workflow, command, and prompt in this book is tuned for immediate use, helping you move from "What can AI do?" to "Here's how I'm using it to deliver better, faster, and smarter software."Inside you'll discover: Proven strategies for setting up and configuring Claude Code Pro in any development environmentReal examples of code generation, project onboarding, and multi-repo managementEffective prompt engineering techniques for crystal-clear outputs and predictable resultsAdvanced patterns for team collaboration, CI/CD integration, context management, and automated documentationPractical methods for debugging, performance monitoring, error handling, and quality validationComplete, step-by-step projects to cement your new skills and build confidenceWhether you're a solo developer, an engineering lead, or part of a fast-moving startup team, this book empowers you to leverage Claude Code Pro's AI capabilities without losing control of your process or codebase. The result? More time spent designing, innovating, and shipping-less on repetition, guesswork, and manual grunt work. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. CI/CD with GCP DevOps: Automate, Secure, and Monitor Everything for Modern Cloud Teams What's standing between your team and seamless, high-velocity software delivery? For most organizations, it's not a lack of cloud features, but the complexity of integrating automation, security, and observability into one reliable workflow. "CI/CD with GCP DevOps: Automate, Secure, and Monitor Everything for Modern Cloud Teams" gives you the clear, actionable playbook you need to build world-class pipelines on Google Cloud Platform-no guesswork, no theory, just proven solutions.This book cuts through noise and jargon to deliver a practical, hands-on guide tailored for today's fast-moving cloud engineering teams. Inside, you'll master the essential skills and patterns for orchestrating robust CI/CD pipelines, hardening security at every layer, and building real-time monitoring you can trust. Each chapter is filled with expert insight and working code samples, equipping you to ship features faster and catch issues before they reach your users.You'll learn how to: Design and implement resilient pipelines using Cloud Build, Cloud Deploy, and Kubernetes Engine.Apply infrastructure as code with Terraform and Config Connector to create consistent, repeatable environments.Integrate automated security scans, binary authorization, and secret management into every build and deployment.Structure repositories, test automation, and branching strategies for real-world collaboration and scale.Monitor, trace, and audit your delivery pipelines using Cloud Monitoring, Logging, and custom SLOs.Harness AI and automation to eliminate bottlenecks and supercharge productivity across your DevOps workflow.Whether you're just adopting GCP or scaling up complex environments, this book delivers hard-won strategies for cost control, disaster recovery, and zero-downtime deployment. Written in a clear, tutorial-driven style, every chapter delivers step-by-step instruction and real-world lessons that help you make the most of Google Cloud's DevOps tools-starting from day one. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. The Beginner's Guide to Generative AI Audio: From Spectrograms to Diffusion, TTS, and Voice ConversionAre you fascinated by the idea of creating music, voices, or soundscapes with the help of artificial intelligence-but don't know where to start? Whether you're a musician eager to experiment, a developer curious about audio AI, or a creator looking to level up your projects, this book delivers a practical path forward. The possibilities in generative AI audio are expanding fast-don't let complexity keep you on the sidelines.The Beginner's Guide to Generative AI Audio takes you step by step through the modern techniques that power today's most exciting audio applications. This isn't a dry theory manual; you'll get your hands on real code, proven workflows, and intuitive explanations that make even advanced topics accessible. From visualizing waveforms and extracting features, to training autoencoders, building voice cloning systems, and deploying full-featured apps-every chapter gives you the tools to build, test, and create with confidence.Inside, you'll discover how to: Load, visualize, and preprocess audio data for machine learning and creative projectsGenerate music and speech using transformer models, diffusion, and neural codecsBuild practical applications like TTS web demos, music generators, and voice conversion toolsAdapt workflows for GPU, CPU, or Colab environments and troubleshoot common audio/driver issuesEvaluate model performance using robust metrics and real-world listening testsPackage, deploy, and share your creations with intuitive interfaces and shareable demosYou don't need a PhD or years of signal processing experience to use this book. You'll master the essentials of generative AI audio through hands-on guidance, personal insights, and real-world code examples, all designed for quick wins and lasting understanding. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Building Robust AI Evals: Proven Strategies for Testing, Monitoring, and Improving LLM PerformanceAre your AI models truly performing as intended, or are hidden failures silently undermining their reliability? In an era where large language models power critical business operations, customer interactions, and research breakthroughs, rigorous evaluation is not optional-it's essential. "Building Robust AI Evals" provides a comprehensive, hands-on blueprint for testing, monitoring, and improving LLM performance across real-world applications.This book offers practical, actionable strategies for designing evaluation pipelines that are scalable, repeatable, and aligned with both business and technical goals. From defining meaningful metrics and curating high-quality datasets to implementing automated and human-in-the-loop evaluation workflows, you will learn how to ensure your AI systems are not only accurate but safe, reliable, and compliant.Inside, you will discover how to: Design effective evaluation frameworks that align with business objectives and technical requirements.Implement core and advanced metrics for LLMs, including semantic similarity, multi-step reasoning, and multi-modal assessment.Build modular, automated evaluation pipelines with logging, monitoring, and regression testing for scalable deployments.Detect data drift, concept drift, and performance anomalies in production, and trigger timely retraining and re-evaluation.Integrate safety, fairness, and compliance checks into all stages of evaluation, ensuring ethical and reliable model behavior.Leverage human-in-the-loop and multi-evaluator strategies to capture nuanced model performance beyond automated metrics.Scale evaluation practices across teams and projects while maintaining governance, traceability, and knowledge transfer.Whether you are an AI engineer, data scientist, or machine learning practitioner responsible for deploying large language models, this book equips you with the tools and frameworks to implement evaluation processes that are actionable, auditable, and robust. By following the techniques in this guide, you will reduce risk, improve model reliability, and gain confidence in the real-world performance of your AI systems. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Paperback. Condizione: new. Paperback. Advanced C++ Concurrency and Parallel Programming: The Complete Guide to Threads, Futures, Async, and Structured Concurrency for Today's Demanding WorkloadsConcurrency and parallelism have become essential skills for C++ developers in every field-from finance and cloud computing to embedded systems and real-time analytics. Yet, mastering threads, asynchronous workflows, and parallel architectures can feel overwhelming even for seasoned engineers. If you want proven solutions, not just theory, this book is your trusted companion.Advanced C++ Concurrency and Parallel Programming delivers a practical, comprehensive guide to building reliable, efficient, and maintainable concurrent software using the latest C++ standards. With hands-on strategies and real-world code examples, you'll learn how to tackle today's toughest challenges-without the guesswork or frustration.Inside, you'll discover how to: Leverage threads, thread pools, and executors for scalable parallel workloadsUse futures, promises, and structured async patterns to coordinate complex operationsMaster modern synchronization with mutexes, condition variables, and lock-free data structuresImplement high-throughput pipelines and real-time simulation with predictable performanceApply structured concurrency and coroutines to simplify task management and resource cleanupTune, benchmark, and debug code to ensure safety, speed, and resilience in productionPrepare your codebase for C++20, C++23, and upcoming C++26 concurrency featuresMigrate legacy code to modern, robust concurrency modelsWhether you're architecting a low-latency trading engine, optimizing backend services, or refining embedded control systems, you'll find actionable techniques and clear explanations to make your code safer and faster. Every chapter is focused on practical solutions, so you can immediately apply what you learn to real projects.Step up to the challenges of tomorrow's C++-with confidence.Don't let concurrency be your bottleneck. Invest in the book that will raise your C++ expertise to the next level and help you deliver high-performance, robust applications-every time. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.