greer tyrell (26 Ergebnisse)

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. Mastering Flutter for Multi-Platform Success: Professional Workflows for Android, iOS, Web, Desktop, and Embedded Apps Building one app that runs everywhere is the dream-but the reality is, most projects hit platform-specific roadblocks, inconsistent performance, and workflows that slow teams down. Whether you're looking to streamline releases or deliver a polished experience across Android, iOS, web, desktop, and even embedded hardware, you need more than just theory. You need a proven playbook for multi-platform excellence.Mastering Flutter for Multi-Platform Success offers exactly that. This comprehensive guide equips professional developers with modern, production-grade workflows that cut through guesswork. You'll learn how to set up robust projects, architect for scalability, and confidently integrate state management patterns that stand up to real-world demands. From responsive UIs and platform-specific optimizations to embedding Flutter on devices like Raspberry Pi, every section is packed with hands-on, step-by-step examples and actionable strategies drawn from successful, shipped apps.What sets this book apart? Every chapter zeroes in on the actual challenges you'll face on the job: seamless CI/CD pipelines, app store submissions, cross-platform testing, and practical deployment for all major environments. You'll discover how to: Structure your codebase for maximum reuse, clarity, and team productivityAdapt interfaces fluidly for any screen size or input method-touch, mouse, or keyboardBuild, sign, and publish for Android, iOS, web, Windows, macOS, Linux, and embedded devicesIntegrate APIs, local storage, Firebase, and native features using industry best practicesHarness DevTools, hot reload, and profiling for peak performance across every platformFuture-proof your workflow with AI-assisted tools, AR/VR support, and emerging Flutter techThis book isn't just for reading-it's designed for action. Keep the codebase open as you learn, clone real projects, and see immediate results as you build, test, and ship apps that work beautifully everywhere.Ready to move beyond basic tutorials and deliver professional Flutter apps that users love-on any device? Mastering Flutter for Multi-Platform Success is your blueprint. Pick up your copy now and accelerate your path to true cross-platform mastery. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. Agentic Frontend Development with AG-UI: From Protocols to Production for Next-Level AI and Human CollaborationAre you ready to move beyond static apps and basic chatbots? Modern users expect interfaces that feel alive-where intelligent agents respond instantly, collaborate seamlessly, and adapt in real time. The future of human-AI collaboration is here, but turning today's cutting-edge models into production-grade, interactive experiences remains one of the toughest challenges in software development.This book gives you the actionable blueprint you need. Inside, you'll master AG-UI-a practical protocol and toolkit designed to build agentic, event-driven frontends that bridge the gap between users and AI systems. Whether you're a frontend developer, a backend engineer, or a technical product leader, you'll find proven patterns and step-by-step code examples for every stage of development, from concept to scalable deployment.What sets this book apart is its relentless focus on real-world implementation. You'll learn how to: Design and implement streaming, tool-driven UIs that bring LLMs and agents to lifeIntegrate AG-UI with frameworks like FastAPI, React, CopilotKit, LangGraph, and Pydantic AIHandle complex state synchronization, optimistic UI updates, and multi-agent coordinationBuild robust control flows-pause, retry, cancel, or steer agent reasoning at any momentEnsure security, auditability, and extensibility with sandboxing, validation, and protocol versioningOptimize for performance, scale, and seamless user experience in real production environmentsEach chapter delivers hands-on techniques, performance tips, and migration strategies for adding AG-UI to both new and existing systems. You'll get ready-to-use templates, a complete event schema reference, and up-to-date best practices for every tool and SDK.Why settle for static UIs or brittle integrations when you can lead the next wave of interactive, agent-powered software? Equip yourself with the practical knowledge and working code to deliver applications that stand out-and deliver value-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.

Zustand: New. Print on Demand.

Paperback. Zustand: new. Paperback. AI Agent Deployment Types Explained: Building, Scaling, and Managing Intelligent SystemsAre you ready to cut through the confusion and actually deploy AI agents at scale-securely, efficiently, and with complete control? As intelligent systems reshape entire industries, the challenge is no longer building a smart agent; it's about choosing the right deployment model, integrating seamlessly with real infrastructure, and achieving the resilience and compliance your organization demands.AI Agent Deployment Types Explained delivers the hands-on guidance every engineer, architect, and technical leader needs to confidently design, implement, and manage agent-powered platforms-across cloud, edge, on-premises, and hybrid environments. You'll find proven, up-to-date strategies grounded in field-tested practices and real-world success stories.What you'll learn inside: How to assess business objectives and select deployment models that align with your needs-whether for ultra-low latency, strict data privacy, or maximum scalability.Step-by-step playbooks for deploying agents on Kubernetes, KubeEdge, and serverless frameworks, complete with actionable YAML, code, and workflow examples.Concrete strategies for autoscaling, cost control, and hybrid edge-cloud orchestration, ensuring your platform adapts to any workload without spiraling expenses.Templates and best practices for security, policy enforcement, audit trails, and compliance, so you can pass any enterprise review with confidence.Real-world patterns for monitoring, continuous improvement, and future-proofing your AI ecosystem using digital twins, modular agent architecture, and operational orchestration.Whether you're building your first production agent, migrating legacy workflows, or leading a global transformation, this book provides the clarity, tools, and insider expertise to help you move from idea to industrial-grade AI deployment. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. AI with Multimodal RAG: From Fundamentals to Enterprise Solutions What if your AI could answer any question, not just by searching through mountains of text, but by understanding diagrams, charts, photos, audio, and even tables-just as easily as a human expert? For forward-thinking engineers, solution architects, and innovators, this is no longer an abstract promise but a fast-moving reality. As businesses race to manage an explosion of unstructured and visual data, the next generation of AI must deliver more than just plausible answers; it must reason, ground responses in real evidence, and adapt at enterprise scale."AI with Multimodal RAG: From Fundamentals to Enterprise Solutions" is your practical field manual for building these state-of-the-art systems. This book guides you through the core principles and hands-on methods needed to connect modern retrieval-augmented generation (RAG) with every data type your organization depends on-text, images, audio, video, tables, and more.Inside, you'll discover: A clear blueprint for architecting, deploying, and scaling multimodal RAG pipelines: Learn proven strategies for ingesting and structuring mixed-format data, selecting encoders, and orchestrating end-to-end retrieval and generation workflows.Step-by-step tutorials and runnable code: Build working solutions using tools like Hugging Face, Milvus, Pinecone, and GPT-4o. Apply recipes to real-world scenarios-from legal document search and healthcare QA to customer support assistants and compliance auditing.Performance, benchmarking, and troubleshooting guides: Master techniques for evaluating accuracy, reducing hallucinations, optimizing cost, and debugging with full traceability.Enterprise deployment insights: Benefit from in-depth case studies, checklists, and templates designed to move your solution from prototype to robust, production-ready system.Ethical and responsible AI practices: Understand the practical risks of bias, fidelity, and transparency-and implement guardrails that build trust from the ground up.Whether you're aiming to elevate your AI chatbot, power multimodal search, or transform knowledge management in your organization, this book provides the roadmap and tools to get you there. If you're ready to move beyond theory and deliver solutions that truly understand, it's time to take the next step. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Mastering Anthropic API: Build Secure, Ethical, and Scalable AI Apps with Claude and MCP Are you ready to transform Claude and MCP into the backbone of your next AI application? In Mastering Anthropic API, you're invited to step beyond basic prompts and learn how to architect solutions that are secure, ethical, and built to scale with Claude's latest models and the Model Context Protocol. Whether you've tinkered with generative AI before or you're a seasoned engineer eyeing the cutting edge, this book shows you exactly how to turn potential into production-grade apps-without veering into theoretical abstractions.From your first authenticated API call to deploying agentic workflows, you'll discover practical patterns and battle-tested scripts that bridge the gap between concept and live systems. Inside, you'll find: A clear path for setting up your environment, managing tokens, and choosing between Sonnet 4, Opus 4, or Opus 4.1 to balance cost, speed, and context length.Hands-on guidance for crafting prompts that enforce precise behavior and output formats-complete with templates that scale from simple summaries to full-blown code generation.Recipes for integrating Claude with internal and third-party services via MCP-GitHub, Stripe, Google Drive, and your own custom connectors-so you can orchestrate multi-step workflows in natural language.Strategies for embedding document retrieval, vision inputs, and continuous evaluation to build Retrieval-Augmented Generation and vision-powered apps that never hallucinate.Security and governance best practices, including threat models, prompt-injection defenses, and access-control patterns that keep your AI stack bullet-proof.By the last chapter, you will have a playbook in hand: full code examples, configuration scripts, and architectural blueprints for production deployment. You'll emerge fluent in Anthropic's ecosystem-Claude API, Claude Code, and MCP servers-and equipped to evolve your applications as models grow smarter and protocols advance. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Autonomous Agents in Business: Executive Strategies to Transform Customer Experience, Streamline Operations, and Protect ComplianceWhat if your business could serve customers around the clock, optimize every workflow, and meet regulatory demands-without increasing headcount or sacrificing agility? Today, autonomous agents are turning that possibility into a competitive advantage. For executives wrestling with rising customer expectations, shrinking margins, and ever-tighter compliance requirements, the challenge isn't whether to adopt AI-driven automation-but how to do it confidently, securely, and at scale.This book delivers a playbook for leaders and technical stakeholders who need actionable strategies-not just theories-to transform their organizations with autonomous agents. From the first pilot project to enterprise-wide deployments, you'll learn how real companies are orchestrating agents to drive revenue, reduce operational costs, and stay audit-ready. Each chapter blends executive-level insights with practical blueprints, success metrics, and real-world case studies-providing everything needed to move from experimentation to sustained value.Inside, you'll discover how to: Identify and prioritize agent use cases that align with your unique business goals and risk profileIntegrate autonomous agents across customer support, supply chains, and compliance functionsMonitor agent performance with dashboards and metrics that tie directly to revenue, efficiency, and risk reductionDeploy scalable, resilient agent infrastructures that fit seamlessly within your current technology stackSecure buy-in across all levels of your organization, from boardroom to frontline teamsStay ahead of regulatory change with agents that automate risk monitoring and audit-ready reportingWhether you're a C-suite executive seeking to communicate AI strategy in board-level language, a technical leader designing multi-agent architectures, or a developer tasked with integrating agents into live workflows, this book meets you at your level and equips you with templates, recipes, and step-by-step guides to accelerate adoption. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Mastering Flutter for Multi-Platform Success: Professional Workflows for Android, iOS, Web, Desktop, and Embedded Apps Building one app that runs everywhere is the dream-but the reality is, most projects hit platform-specific roadblocks, inconsistent performance, and workflows that slow teams down. Whether you're looking to streamline releases or deliver a polished experience across Android, iOS, web, desktop, and even embedded hardware, you need more than just theory. You need a proven playbook for multi-platform excellence.Mastering Flutter for Multi-Platform Success offers exactly that. This comprehensive guide equips professional developers with modern, production-grade workflows that cut through guesswork. You'll learn how to set up robust projects, architect for scalability, and confidently integrate state management patterns that stand up to real-world demands. From responsive UIs and platform-specific optimizations to embedding Flutter on devices like Raspberry Pi, every section is packed with hands-on, step-by-step examples and actionable strategies drawn from successful, shipped apps.What sets this book apart? Every chapter zeroes in on the actual challenges you'll face on the job: seamless CI/CD pipelines, app store submissions, cross-platform testing, and practical deployment for all major environments. You'll discover how to: Structure your codebase for maximum reuse, clarity, and team productivityAdapt interfaces fluidly for any screen size or input method-touch, mouse, or keyboardBuild, sign, and publish for Android, iOS, web, Windows, macOS, Linux, and embedded devicesIntegrate APIs, local storage, Firebase, and native features using industry best practicesHarness DevTools, hot reload, and profiling for peak performance across every platformFuture-proof your workflow with AI-assisted tools, AR/VR support, and emerging Flutter techThis book isn't just for reading-it's designed for action. Keep the codebase open as you learn, clone real projects, and see immediate results as you build, test, and ship apps that work beautifully everywhere.Ready to move beyond basic tutorials and deliver professional Flutter apps that users love-on any device? Mastering Flutter for Multi-Platform Success is your blueprint. Pick up your copy now and accelerate your path to true cross-platform mastery. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Agentic AI Engineering with Azure AI Foundry SDK: From Model Catalogs to Production-Ready Chatbots and AutomationWhat does it take to deliver intelligent agents and automation that perform at scale-without months of trial and error or piles of brittle prototypes? In a landscape where every business is racing to deploy smarter solutions, the challenge isn't building demos; it's shipping robust, adaptable AI systems that thrive in real-world conditions.This book is your definitive field guide to building, deploying, and managing agentic AI with the Azure AI Foundry SDK. Designed for developers, architects, and technology leaders determined to move beyond theory, it offers practical strategies for leveraging Microsoft's unified SDK to streamline the path from initial setup to enterprise-scale deployments.Inside, you'll learn how to: Quickly configure your Azure environment, navigate authentication, and validate your first API call for immediate momentum.Harness the unified model catalog to select, compare, and swap leading AI models-including OpenAI, DeepSeek, Mistral, and Meta-without vendor lock-in or disruptive code rewrites.Build intelligent agents capable of orchestrating conversations, invoking external tools, and integrating with business workflows-all with working examples in Python, C#, and TypeScript.Incorporate Retrieval-Augmented Generation (RAG) using Azure's vector search to ground chatbot responses in your own data, delivering accuracy and trust for users.Automate, observe, and govern every layer of your AI stack, from production monitoring and safety checks to secure, compliant enterprise deployment patterns.Troubleshoot, optimize, and scale your solutions with proven best practices, clear debugging workflows, and developer-tested checklists.Every section is engineered for action: start with a specific outcome, walk through the essential setup, experiment with hands-on code, and discover practical recommendations for scaling, security, and reliability. The book steers clear of lengthy theory and empty promises, instead equipping you with repeatable solutions, hard-won insights, and field-tested strategies that work under pressure.Ready to build agents that don't just work in the lab, but deliver value in production-day after day? Get your copy and turn the Azure AI Foundry SDK into your team's secret weapon for next-generation chatbots, automation, and enterprise AI. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Mastering NIST SSDF for Generative AI: Accelerate Secure Agent Development with Step-by-Step Frameworks and AutomationWhat's holding back your next generative AI project-the power of your models, or your confidence that what you build is truly secure? As the pace of AI innovation surges, security blind spots can turn rapid progress into unexpected setbacks. Teams often find themselves patching vulnerabilities late, scrambling after a compliance scare, or struggling to prove their models are safe, reliable, and audit-ready. But it doesn't have to be this way.This practical, no-nonsense guide delivers what AI and security engineers need most: a hands-on, workflow-driven approach to embedding NIST's Secure Software Development Framework (SSDF) into every phase of generative AI agent development. You'll move beyond scattered advice and generic checklists, learning instead how to apply proven automation and control techniques that have been tested on the front lines of real-world AI deployments.Inside, you'll discover how to: Establish security governance that scales with your team and automates policy enforcement using CI/CD pipelines, versioned policies, and role-based access control.Protect your AI assets by validating data provenance, automating dependency tracking with SBOMs, and implementing model artifact signing to prevent tampering.Bake security into every build with coding patterns, automated SAST/DAST/fuzzing, and continuous integration gates that keep threats out of production.Automate security across your entire development and deployment pipeline-using detailed scripts, templates, and ready-to-implement YAML examples for Jenkins, GitHub Actions, and GitLab CI.Respond rapidly to AI-specific security incidents with monitoring, anomaly detection, rollback strategies, and incident response templates tailored for generative models.Align your processes with industry frameworks like OWASP SAMM, BSIMM, and ISO 27034 using mapping matrices and actionable compliance dashboards.This book arms you with code you can run, playbooks you can trust, and strategies you can immediately apply-whether you're launching your first secure AI agent or tightening controls across a mature multi-model platform. With each recipe, you'll gain the practical skills to transform security from a blocker into a competitive advantage for your AI teams.Ready to build generative AI agents that are not just innovative, but resilient, auditable, and production-grade? Take the next step-add "Mastering NIST SSDF for Generative AI" to your toolkit and lead your organization into the future of secure, scalable, and trustworthy AI development. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Implementing ISO 42001 AI Management Systems: Proven Strategies to Integrate Governance, Risk Control, and Ethical AI Practices Across Your OrganizationAre you ready to lead your organization into the age of ethical, auditable, and future-proof AI?As artificial intelligence transforms business, the pressure to manage its risks, meet global regulations, and prove responsible stewardship has never been more urgent. Yet, too many organizations treat AI governance as a box-checking exercise-leaving themselves vulnerable to compliance failures, reputational damage, and missed opportunities for innovation.Implementing ISO 42001 AI Management Systems delivers the first truly actionable blueprint for building an AI Management System (AIMS) that puts your organization ahead-enabling trust, compliance, and strategic advantage in a landscape defined by rapid change.Inside, you'll discover: Clear, step-by-step frameworks for aligning ISO 42001 with standards like ISO 27001, GDPR, and the EU AI Act-streamlining audits and eliminating redundancies.Practical templates and ready-to-use checklists for every phase: from gap analysis and policy design, to risk assessment, monitoring, and continual improvement.Sector-specific strategies for finance, healthcare, and government-giving you an edge in the world's most heavily regulated industries.Battle-tested methods to scale AI governance across departments, subsidiaries, or regions, and sustain compliance through automation and advanced monitoring tools.Real-world implementation guides anchored by examples, evidence-based action plans, and fully working code-so you can put new processes in place immediately.Whether you're a compliance leader, AI engineer, or executive responsible for digital transformation, this book equips you to: Build unshakable trust with customers, regulators, and investorsProactively manage risk and avoid last-minute compliance scramblesDrive operational efficiency by integrating AI oversight with existing management systemsFoster a culture where innovation thrives inside clear, safe boundariesThe next wave of AI leaders will be those who treat governance as a source of strength-not red tape. If you want to move beyond "meeting the standard" and set the standard in your industry, this is the resource you need. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Automated Testing Harness with MCP: Designing Resilient, AI-Driven Test Systems for Scalable, Secure, and Self-Healing AutomationIn a world where AI agents power mission-critical workflows, how do you ensure your automated tests keep up-without collapsing under shifting code, evolving tools, or security threats? Too often, traditional automation frameworks crack under real-world conditions, leaving teams chasing flaky tests, skyrocketing maintenance costs, and delayed releases. This book presents the blueprint for breaking that cycle.At the heart of this transformation is the Model Context Protocol (MCP)-a powerful standard that enables agents to interact seamlessly with tools, browsers, and cloud environments. By leveraging MCP, you can design test harnesses that are not only accurate and efficient but also adaptive, fault-tolerant, and secure against emerging attack vectors.You'll discover how to integrate AI-driven orchestration, real-time feedback loops, and self-healing mechanisms into your automation stack-turning testing from a reactive burden into a proactive quality engine. Whether you're a developer, test engineer, or software architect, this book equips you with the strategies, patterns, and code you need to build automation that thrives under pressure.What you'll gain from this book: Master the core MCP architecture and configure real-world servers, clients, and tool wrappers.Engineer self-healing test harnesses that adapt dynamically to UI changes, API shifts, and network instability.Apply prompt engineering and orchestration patterns for robust, context-aware automation.Benchmark harness performance with MCPBench and LiveMCPBench to measure accuracy, latency, and token efficiency.Implement security blueprints to protect against tool poisoning, impersonation, and malicious redefinition.Integrate with CI/CD pipelines and cloud-based MCP services for enterprise-scale automation.Every technique is grounded in production-ready patterns and supported by working examples in Python, TypeScript, and Node.js-ensuring you can apply concepts immediately. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Paperback. Agentic Frontend Development with AG-UI: From Protocols to Production for Next-Level AI and Human CollaborationAre you ready to move beyond static apps and basic chatbots? Modern users expect interfaces that feel alive-where intelligent agents respond instantly, collaborate seamlessly, and adapt in real time. The future of human-AI collaboration is here, but turning today's cutting-edge models into production-grade, interactive experiences remains one of the toughest challenges in software development.This book gives you the actionable blueprint you need. Inside, you'll master AG-UI-a practical protocol and toolkit designed to build agentic, event-driven frontends that bridge the gap between users and AI systems. Whether you're a frontend developer, a backend engineer, or a technical product leader, you'll find proven patterns and step-by-step code examples for every stage of development, from concept to scalable deployment.What sets this book apart is its relentless focus on real-world implementation. You'll learn how to: Design and implement streaming, tool-driven UIs that bring LLMs and agents to lifeIntegrate AG-UI with frameworks like FastAPI, React, CopilotKit, LangGraph, and Pydantic AIHandle complex state synchronization, optimistic UI updates, and multi-agent coordinationBuild robust control flows-pause, retry, cancel, or steer agent reasoning at any momentEnsure security, auditability, and extensibility with sandboxing, validation, and protocol versioningOptimize for performance, scale, and seamless user experience in real production environmentsEach chapter delivers hands-on techniques, performance tips, and migration strategies for adding AG-UI to both new and existing systems. You'll get ready-to-use templates, a complete event schema reference, and up-to-date best practices for every tool and SDK.Why settle for static UIs or brittle integrations when you can lead the next wave of interactive, agent-powered software? Equip yourself with the practical knowledge and working code to deliver applications that stand out-and deliver value-from day one. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.