Leif thornqvist (60 risultati)

Taschenbuch. Condizione: Neu. Neuware - Microsoft 365 Copilot is transforming the way professionals create content, analyze information, communicate, and manage daily responsibilities. Microsoft 365 Copilot Mastery: Practical AI Workflows for Word, Excel, PowerPoint, Outlook & Teams provides a practical introduction to using artificial intelligence across the most widely used Microsoft 365 applications.>Readers will learn how to use Copilot in Word for document creation and editing, Excel for data analysis and insights, PowerPoint for presentation development, Outlook for communication management, and Teams for collaboration and meetings. The book also introduces effective prompting techniques, responsible AI usage, and practical workflow strategies that help users achieve better results with Microsoft Copilot. Designed for beginners, professionals, educators, entrepreneurs, and Microsoft 365 users, this guide focuses on real-world productivity rather than technical theory. By the end of this book, readers will understand how to integrate Microsoft Copilot into their daily activities and build smarter, faster, and more efficient digital workflows.…

Taschenbuch. Condizione: Neu. Neuware - How do you turn powerful Python deep learning models into reliable production systems Building an AI model is only half the challenge. The real engineering work begins when that model must serve real users, handle unpredictable traffic, communicate with a web application, and remain secure, observable, and resilient.Production-Grade AI Architecture provides a practical architectural guide to integrating Python deep learning systems with a Node.js backend. It explores the critical boundary between machine learning infrastructure and application engineering, showing how the two ecosystems can work together without creating fragile or difficult-to-maintain systems.Inside, you'll explore: - REST, gRPC, Protobuf, and message queues for reliable AI communication- Node.js API gateways for validation, routing, aggregation, and rate limiting- Redis and BullMQ for asynchronous deep learning workloads- FastAPI and Flask services for exposing Python models to Node.js- Semantic caching and distributed state management to reduce unnecessary computation- Circuit breakers, fallbacks, retries, and graceful degradation for resilient AI systems- mTLS, PII protection, RBAC, and auditing across AI service boundaries- OpenTelemetry, Grafana, and Datadog for full-stack observability- Docker, GitHub Actions, integration testing, and shadow deployments for production deliveryWhether you're designing an AI API, deploying deep learning inference, or building a hybrid Python-Node.js architecture, this book gives you a structured way to think about the systems surrounding your models. Move beyond model prototypes and start engineering AI systems designed for production.…

Taschenbuch. Condizione: Neu. Neuware - Your Node.js backend can do far more than send requests to an LLM. It can become the foundation of a scalable, secure, intelligent AI application.Intelligent Systems Engineering explores how Node.js developers can move beyond basic API integrations and engineer production-ready applications powered by large language models and modern natural language processing.From connecting multiple LLM providers to building RAG pipelines, managing conversational memory, orchestrating AI agents, and controlling inference costs, this book focuses on the engineering decisions that matter when AI applications move from prototype to production.Inside, you'll explore: - OpenAI, Anthropic, and Google AI integrations with Node.js- Prompt engineering, structured outputs, and prompt-injection defenses- RAG pipelines, embeddings, vector databases, and semantic search- Redis-powered conversational memory and context management- Agentic workflows, function calling, MCP, and human-in-the-loop patterns- Semantic caching, batching, rate limiting, and token-cost optimization- PII protection, audit logging, privacy, and enterprise AI security- LLM testing, hallucination mitigation, RAG evaluation, and prompt benchmarking- High-concurrency architectures using WebSockets, SSE, containers, and serverless deploymentsWhether you're a Node.js developer entering AI engineering or an engineer building production LLM applications, this guide connects JavaScript backend development with the practical realities of modern generative AI. Build smarter backends. Engineer more reliable LLM applications.Bring intelligent systems to life with Node.js.…

Taschenbuch. Condizione: Neu. Neuware - Artificial intelligence is becoming an essential skill in modern workplaces, and Microsoft 365 Copilot provides users with powerful tools to improve productivity without requiring advanced technical knowledge. Microsoft 365 Copilot for Beginners is a practical step-by-step guide designed for individuals who are new to artificial intelligence and want to learn how to use Copilot effectively. This book introduces the fundamentals of Microsoft Copilot, explains how AI assistants work, and demonstrates how beginners can apply Copilot to everyday professional tasks. Readers will discover how to write effective prompts, create documents, analyze information, improve communication, organize projects, and automate repetitive activities using Microsoft 365 applications. Through practical workplace examples and guided projects, this book helps readers develop confidence in using AI tools while understanding the importance of human judgment, accuracy, and responsible AI usage.Whether you are a student, office worker, business owner, manager, or professional seeking to improve efficiency, this beginner-friendly guide provides the foundation needed to successfully adopt Microsoft Copilot.…

Taschenbuch. Condizione: Neu. Neuware - When an AI application cannot afford downtime, reliability must be designed-not hoped for.High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications is a practical guide to building resilient AI backends that can withstand failures, handle unpredictable workloads, and recover gracefully when infrastructure goes wrong.Designed for Node.js developers, AI engineers, DevOps professionals, and platform engineers, this book explores how Kubernetes orchestration can turn fragile AI services into scalable, fault-tolerant systems.Inside, you'll explore how to: - Design highly available Node.js services across multiple availability zones- Build resilient Docker containers and Kubernetes workloads- Configure liveness, readiness, resource limits, and Pod Disruption Budgets- Scale AI workloads with HPA, VPA, custom metrics, and intelligent traffic management- Protect AI APIs with TLS, WAFs, RBAC, network policies, and secure secrets- Build fault-tolerant systems using circuit breakers, graceful degradation, and chaos engineering- Monitor AI infrastructure with Prometheus, Grafana, Jaeger, and OpenTelemetry- Plan disaster recovery, multi-region deployments, backups, RTO, and RPO- Deploy AI services safely using canary releases, blue-green deployments, and GitOpsFrom GPU failures and traffic spikes to service outages and regional disasters, the focus stays on one goal: keeping mission-critical AI applications available when failure is not an option.>Build for failure. Design for recovery.Engineer AI systems that stay available.…

Taschenbuch. Condizione: Neu. Neuware - Building an AI agent is not just about getting a model to produce a plan. It is about designing a system that can act within defined limits-and show whether its actions worked. An agent may select the right tool but supply invalid arguments, rely on outdated information, or report success before an operation is confirmed. These problems become harder when a workflow involves retrieval, multiple steps, outside services, and human approvals. The challenge is to connect intelligent decision-making with testable software engineering.Understanding and Building AI Agents provides a practical, structured introduction to designing, developing, and evaluating goal-directed software agents. It explains how models, controllers, tools, memory, planning, and validation fit together so readers can assess not only what an agent proposes, but what it is authorized to execute.- Understand agent fundamentals, autonomy boundaries, observations, goals, actions, and feedback.- Design modular agent architectures with state, structured outputs, tools, API contracts, and explicit permissions.- Explore knowledge retrieval, embeddings, memory, and grounded response generation.- Organize tasks with planning, workflow automation, retries, recovery, and stopping conditions.- Compare single-agent and multi-agent approaches, including coordination and shared state.- Evaluate results through test cases, measurable criteria, traces, security checks, and human review.- Connect the pieces through deployment guidance, worked examples, exercises, and an integrated capstone.Across twelve chapters, the book moves from foundational ideas and Python-oriented development to real-world architectural trade-offs. Its worked examples, diagrams, practice problems, selected answers, glossary, and troubleshooting checklist support both systematic study and later reference.>Get your copy and develop a clearer engineering approach to agents that can make decisions, use tools, and remain subject to meaningful controls.…

Taschenbuch. Condizione: Neu. Neuware - Microsoft Copilot is evolving from a simple productivity assistant into an intelligent workplace automation platform capable of supporting complex business processes, advanced workflows, and enterprise-level decision-making. Advanced Microsoft 365 Copilot: Agent Mode, Custom Workflows, and Enterprise Prompt Engineering is a comprehensive guide for professionals, technology leaders, consultants, administrators, and advanced Microsoft 365 users who want to move beyond basic Copilot usage and unlock advanced AI capabilities. This book explores how organizations can design intelligent workflows, create specialized Copilot experiences, improve productivity through advanced prompting techniques, and integrate AI assistants into professional environments.Readers will learn how Copilot agents work, how to structure enterprise prompts, how to design repeatable AI workflows, and how to maximize the connection between Microsoft 365 applications and organizational data.>Through practical examples, workplace scenarios, and advanced strategies, this guide helps readers transition from using Copilot as an assistant to designing AI-powered systems that transform business operations.By the end of this book, readers will understand how to build advanced Microsoft Copilot solutions that improve efficiency, enhance collaboration, and support modern digital transformation. …

Taschenbuch. Condizione: Neu. Neuware - Building an AI agent is not just about making a model respond. It is about creating a system that can act within clear, testable limits. A tool-using application must decide what information to retrieve, what to remember, which action is permitted, and how to respond when an API fails. A fluent answer cannot confirm that a task was completed; a valid tool call cannot replace permission checks; and longer workflows introduce new risks around state, cost, and reliability.This hands-on Python guide shows how to move from basic language-model integration to bounded, evidence-aware agent systems. It explains the architecture behind each capability and provides examples, exercises, and complete projects that connect the design choices to working code.Learn how to: - Create controlled reasoning-and-action loops with explicit stopping rules.- Build structured function calls and validate tools, arguments, and outcomes.- Ground responses in retrieved documents using retrieval-augmented generation.- Manage context and persistent memory while tracking relevance and provenance.- Plan multi-step tasks, checkpoints, approval gates, and specialist-agent handoffs.- Evaluate, secure, monitor, and prepare agent applications for deployment.Starting with agent fundamentals and Python model interfaces, the book covers tool execution, errors and retries, document search, embeddings, memory, planning, multi-agent coordination, generate-verify-revise patterns, testing, observability, security, scaling, and cost control. The final projects explore a knowledge assistant, a memory-enabled workflow assistant, and a coordinated research agent.>Get your copy and start developing AI agents with clearer architecture, better evidence, and deliberate control over what they do.…

Taschenbuch. Condizione: Neu. Neuware - Solutions architects spend countless hours overseeing complex production deployments, battling toil and firefighting instead of innovating. Autonomous Software Development Implementation reveals how to architect systems that configure, heal, scale, and secure themselves with minimal intervention. Traditional oversight-heavy approaches create bottlenecks, increase error rates, and drain engineering talent. This book delivers the exact design patterns, deployment techniques, and governance models that enable true autonomy in real production environments. - Architect self-healing microservices and distributed transactions using Saga, Event Sourcing, CQRS, and predictive scaling patterns- Implement GitOps-driven continuous deployment, intelligent canary releases, and policy-as-code enforcement that require zero daily human oversight- Build autonomous observability, anomaly detection, and self-remediation pipelines that proactively maintain system health- Execute hands-on exercises to create fully self-deploying platforms, autonomous database migrations, and self-optimizing API gateways- Apply zero-trust security, automated compliance, and fail-safe guardrails while quantifying toil reduction and velocity gains through enterprise case studies>Written specifically for mid-to-senior solutions architects, enterprise architects, and technical leads with 5+ years of experience designing and operating production systems. This is not a book for junior developers, frontend engineers, or those seeking basic scripting tutorials. Unlike generic design pattern catalogs or DevOps automation guides, this resource uniquely fuses architectural patterns with production deployment realities, minimal-oversight governance, and measurable business outcomes drawn from large-scale implementations. Scroll up and get instant access to the definitive guide that will future-proof your solutions architecture career.…

Taschenbuch. Condizione: Neu. Neuware - In an era where generative AI underpins critical business decisions, the ability to produce factually accurate and fully attributable outputs is essential for maintaining trust and operational integrity. RAG Deployment Operations presents a rigorous, practice-oriented framework for structuring retrieval-augmented generation flows that incorporate systematic verification steps and robust source attribution mechanisms, ensuring reliable performance in live production systems. This authoritative guide equips technical professionals with the methodologies required to engineer end-to-end RAG solutions that minimize hallucinations while maximizing transparency. Beginning with foundational principles, the content advances through sophisticated techniques for knowledge base construction, precision retrieval optimization, and context-grounded generation. Central chapters provide detailed blueprints for embedding multi-stage verification processes-including automated claim validation, consistency checking, and uncertainty quantification-alongside comprehensive provenance tracking that documents the lineage of every piece of information contributing to an output. Readers will acquire expertise in deploying these systems within modern infrastructure environments, addressing key operational challenges such as scalability, latency management, security, and continuous evaluation. The book explores advanced patterns for monitoring retrieval and generation quality, implementing feedback-driven improvements, and preparing RAG architectures for enterprise-scale demands, including distributed reasoning and emerging paradigms like graph-enhanced retrieval. Emphasis throughout is placed on creating auditable, compliant systems that present clear source citations to end users and stakeholders. Intended for AI/ML engineers, MLOps practitioners, solution architects, and technical decision-makers who are responsible for transitioning RAG prototypes into dependable production services, this book bridges the gap between theoretical capabilities and operational excellence. It delivers actionable insights, architectural patterns, and evaluation strategies that enable teams to build AI applications characterized by demonstrable factuality and complete source accountability.>Purchase RAG Deployment Operations now to master the structures and processes that support factual, attributable outputs in your deployed systems. …

Taschenbuch. Condizione: Neu. Neuware - The development of intelligent multiagent systems represents one of the most significant advancements in modern software engineering and artificial intelligence. However, transitioning from proof-of-concept agents to reliable, production-grade systems capable of operating at scale remains a formidable challenge for many development teams. Building AI Agents That Work addresses this gap by delivering a rigorous, engineering-focused methodology for designing, implementing, and maintaining robust multiagent architectures. Drawing on established principles from distributed systems, software architecture, and contemporary AI research, this guide provides developers with a structured pathway to create agents that collaborate effectively, adapt to dynamic conditions, and deliver consistent value in enterprise environments. Readers will explore the full lifecycle of multiagent system development, from initial conceptualization and agent modeling through sophisticated orchestration, secure tool integration, comprehensive testing regimes, and resilient deployment strategies. The book emphasizes practical techniques for overcoming common failure modes in agentic systems, including brittle communication, unpredictable emergent behaviors, resource contention, and observability gaps. Detailed coverage is given to production concerns such as fault tolerance mechanisms, performance optimization, security hardening, and governance frameworks that align agent actions with organizational objectives and ethical standards.>Designed for software architects, senior backend engineers, AI platform teams, and technical leaders who already possess foundational programming and system design experience, this resource bridges the divide between academic multiagent theory and the pragmatic demands of shipping production software. By applying the methodologies outlined, development teams can significantly reduce iteration cycles, minimize operational risks, and accelerate the delivery of sophisticated AI-powered solutions. If you are ready to elevate your capabilities in building autonomous, collaborative AI systems that perform reliably under real-world pressures, this book provides the definitive technical foundation.Acquire your copy now and start constructing multiagent solutions that deliver measurable impact.…

Paperback. Condizione: new. Paperback. Microsoft 365 Copilot is transforming the way professionals create content, analyze information, communicate, and manage daily responsibilities. Microsoft 365 Copilot Mastery: Practical AI Workflows for Word, Excel, PowerPoint, Outlook & Teams provides a practical introduction to using artificial intelligence across the most widely used Microsoft 365 applications.This book explains how Copilot works and demonstrates how professionals can use AI assistance to complete everyday workplace tasks faster and more effectively. Readers will learn how to use Copilot in Word for document creation and editing, Excel for data analysis and insights, PowerPoint for presentation development, Outlook for communication management, and Teams for collaboration and meetings. The book also introduces effective prompting techniques, responsible AI usage, and practical workflow strategies that help users achieve better results with Microsoft Copilot. Designed for beginners, professionals, educators, entrepreneurs, and Microsoft 365 users, this guide focuses on real-world productivity rather than technical theory. By the end of this book, readers will understand how to integrate Microsoft Copilot into their daily activities and build smarter, faster, and more efficient digital workflows. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. How do you turn powerful Python deep learning models into reliable production systems?Building an AI model is only half the challenge. The real engineering work begins when that model must serve real users, handle unpredictable traffic, communicate with a web application, and remain secure, observable, and resilient.Production-Grade AI Architecture provides a practical architectural guide to integrating Python deep learning systems with a Node.js backend. It explores the critical boundary between machine learning infrastructure and application engineering, showing how the two ecosystems can work together without creating fragile or difficult-to-maintain systems.Inside, you'll explore: REST, gRPC, Protobuf, and message queues for reliable AI communicationNode.js API gateways for validation, routing, aggregation, and rate limitingRedis and BullMQ for asynchronous deep learning workloadsFastAPI and Flask services for exposing Python models to Node.jsSemantic caching and distributed state management to reduce unnecessary computationCircuit breakers, fallbacks, retries, and graceful degradation for resilient AI systemsmTLS, PII protection, RBAC, and auditing across AI service boundariesOpenTelemetry, Grafana, and Datadog for full-stack observabilityDocker, GitHub Actions, integration testing, and shadow deployments for production deliveryWhether you're designing an AI API, deploying deep learning inference, or building a hybrid Python-Node.js architecture, this book gives you a structured way to think about the systems surrounding your models. Move beyond model prototypes and start engineering AI systems designed for production. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Your Node.js backend can do far more than send requests to an LLM. It can become the foundation of a scalable, secure, intelligent AI application.Intelligent Systems Engineering explores how Node.js developers can move beyond basic API integrations and engineer production-ready applications powered by large language models and modern natural language processing.From connecting multiple LLM providers to building RAG pipelines, managing conversational memory, orchestrating AI agents, and controlling inference costs, this book focuses on the engineering decisions that matter when AI applications move from prototype to production.Inside, you'll explore: OpenAI, Anthropic, and Google AI integrations with Node.jsPrompt engineering, structured outputs, and prompt-injection defensesRAG pipelines, embeddings, vector databases, and semantic searchRedis-powered conversational memory and context managementAgentic workflows, function calling, MCP, and human-in-the-loop patternsSemantic caching, batching, rate limiting, and token-cost optimizationPII protection, audit logging, privacy, and enterprise AI securityLLM testing, hallucination mitigation, RAG evaluation, and prompt benchmarkingHigh-concurrency architectures using WebSockets, SSE, containers, and serverless deploymentsWhether you're a Node.js developer entering AI engineering or an engineer building production LLM applications, this guide connects JavaScript backend development with the practical realities of modern generative AI. Build smarter backends. Engineer more reliable LLM applications.Bring intelligent systems to life with Node.js. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condizione: new. Paperback. Artificial intelligence is becoming an essential skill in modern workplaces, and Microsoft 365 Copilot provides users with powerful tools to improve productivity without requiring advanced technical knowledge. Microsoft 365 Copilot for Beginners is a practical step-by-step guide designed for individuals who are new to artificial intelligence and want to learn how to use Copilot effectively. This book introduces the fundamentals of Microsoft Copilot, explains how AI assistants work, and demonstrates how beginners can apply Copilot to everyday professional tasks. Readers will discover how to write effective prompts, create documents, analyze information, improve communication, organize projects, and automate repetitive activities using Microsoft 365 applications. Through practical workplace examples and guided projects, this book helps readers develop confidence in using AI tools while understanding the importance of human judgment, accuracy, and responsible AI usage.Whether you are a student, office worker, business owner, manager, or professional seeking to improve efficiency, this beginner-friendly guide provides the foundation needed to successfully adopt Microsoft Copilot. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. When an AI application cannot afford downtime, reliability must be designed-not hoped for.High-Availability Node.js Backend Design: Kubernetes Orchestration for Mission-Critical AI Applications is a practical guide to building resilient AI backends that can withstand failures, handle unpredictable workloads, and recover gracefully when infrastructure goes wrong.Designed for Node.js developers, AI engineers, DevOps professionals, and platform engineers, this book explores how Kubernetes orchestration can turn fragile AI services into scalable, fault-tolerant systems.Inside, you'll explore how to: Design highly available Node.js services across multiple availability zonesBuild resilient Docker containers and Kubernetes workloadsConfigure liveness, readiness, resource limits, and Pod Disruption BudgetsScale AI workloads with HPA, VPA, custom metrics, and intelligent traffic managementProtect AI APIs with TLS, WAFs, RBAC, network policies, and secure secretsBuild fault-tolerant systems using circuit breakers, graceful degradation, and chaos engineeringMonitor AI infrastructure with Prometheus, Grafana, Jaeger, and OpenTelemetryPlan disaster recovery, multi-region deployments, backups, RTO, and RPODeploy AI services safely using canary releases, blue-green deployments, and GitOpsFrom GPU failures and traffic spikes to service outages and regional disasters, the focus stays on one goal: keeping mission-critical AI applications available when failure is not an option.If you're ready to move beyond basic Kubernetes deployments and engineer AI infrastructure for real-world reliability, this guide gives you a focused path forward. Build for failure. Design for recovery.Engineer AI systems that stay available. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Paperback. Condizione: new. Paperback. Microsoft Copilot is evolving from a simple productivity assistant into an intelligent workplace automation platform capable of supporting complex business processes, advanced workflows, and enterprise-level decision-making. Advanced Microsoft 365 Copilot: Agent Mode, Custom Workflows, and Enterprise Prompt Engineering is a comprehensive guide for professionals, technology leaders, consultants, administrators, and advanced Microsoft 365 users who want to move beyond basic Copilot usage and unlock advanced AI capabilities. This book explores how organizations can design intelligent workflows, create specialized Copilot experiences, improve productivity through advanced prompting techniques, and integrate AI assistants into professional environments.Readers will learn how Copilot agents work, how to structure enterprise prompts, how to design repeatable AI workflows, and how to maximize the connection between Microsoft 365 applications and organizational data.The book also examines important enterprise considerations, including security, governance, responsible AI adoption, user management, and scaling AI solutions across teams. Through practical examples, workplace scenarios, and advanced strategies, this guide helps readers transition from using Copilot as an assistant to designing AI-powered systems that transform business operations.By the end of this book, readers will understand how to build advanced Microsoft Copilot solutions that improve efficiency, enhance collaboration, and support modern digital transformation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. …

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.

Condizione: New. Print on Demand.