Group Applied Engineering (32 results)

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Paperback. Condition: new. Paperback. Artificial intelligence is no longer just a chatbot.It is an operational control layer.OpenClaw for Revenue-Generating AI Systems is a practical, implementation-focused guide to building real AI-native systems that automate workflows, manage risk, scale securely, and generate recurring revenue.This book moves beyond prompt experimentation and shows you how to design, build, deploy, and monetize production-grade AI systems using OpenClaw.You will learn how to transform AI from a feature into a revenue engine.What You'll BuildInside this book, you'll implement fully structured, real-world systems including: An AI Proposal & Scope Generator with deterministic pricingA Compliance Validator with audit logging and rule enforcementA Research & Intelligence Engine with evidence tracingA Signal-First Trading Automation Agent with portfolio managementA Multi-Symbol Portfolio Engine with risk allocationA Production-Ready Dashboard with P/L monitoringA Secure, Scalable OpenClaw architectureEvery system includes: Folder structuresSkill definitionsDeterministic scriptsRisk gatesLogging patternsDeployment guidanceMonetization strategyNo theory without implementation.Who This Book Is ForThis book is designed for: Engineers building AI automation platformsAI entrepreneurs launching SaaS productsSystematic traders developing algorithmic systemsConsultants building AI-powered toolsTechnical founders scaling production AIIf you want to move from experimentation to production, this book provides the blueprint.What Makes This DifferentMost AI books focus on prompts.This book focuses on: Deterministic logic over guessworkRisk-controlled automationObservability and governanceCost engineering and scalabilityVertical specialization and defensibilityPricing, packaging, and 90-day launch strategyYou won't just build AI systems.You'll build AI businesses.From Build to MonetizeIn addition to technical architecture, you'll learn: How to price AI systems properlyHow to package and tier your productHow to build defensible AI moatsHow to verticalize your solutionHow to launch within 90 daysHow to scale responsiblyThe result is a structured path from code to revenue.AI is becoming infrastructure.The advantage will go to those who build with discipline, governance, and monetization in mind.If you're ready to build AI-native systems that operate in the real world - securely, scalably, and profitably - this book is your guide. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

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

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Paperback. Condition: new. Paperback. Artificial Intelligence is no longer optional.Cloud platforms, generative AI systems, LLM applications, AI agents, and MLOps pipelines are redefining how companies operate - and how professionals earn.But with dozens of certifications from AWS, Microsoft, Google, NVIDIA, Databricks, MIT, Stanford, and more.Which certifications actually matter?Which ones increase salary?Which ones generate freelance income?Which stack leads to AI Architect-level authority?This book gives you a structured, monetization-focused roadmap.Inside This Book, You'll Discover: The complete AI certification landscape (AWS, Azure, Google Cloud, NVIDIA, IBM, Databricks, and more)A 90-Day Beginner-to-AI Engineer execution planA 6-Month Advanced Roadmap to AI Architect positioningGenerative AI & RAG specialization pathsMLOps, Kubernetes & Infrastructure stacking strategyAI Strategy & Governance positioning for enterprise rolesA numeric Income Leverage Scoring FrameworkROI analysis for every certification tierStep-by-step freelance monetization blueprintEnterprise consulting packaging strategySaaS launch pathway for scalable AI incomePersonal brand positioning frameworkWho This Book Is For- Software developers transitioning into AI- Cloud engineers adding machine learning capability- Data analysts moving into deployment roles- IT professionals targeting AI Architect promotions- Consultants expanding into AI services- Entrepreneurs building AI SaaS products- Career changers seeking structured AI entryThis is not an academic theory book.This is a practical execution manual.What Makes This Guide DifferentMost books list certifications.This book teaches you how to: Turn certifications into leverage.Turn leverage into income.Turn income into long-term career freedom.You will learn how to stack certifications vertically, not horizontally - building from Foundation Applied ML Generative AI MLOps Architect Strategy.The OutcomeBy following this roadmap, you will be able to: - Design deployable AI systems- Build RAG and AI agent architectures- Scale ML pipelines with MLOps- Package high-value consulting offers- Launch AI-powered SaaS products- Position yourself as an AI Systems ArchitectThe AI economy rewards precision, execution, and structured leverage.This book gives you the blueprint.If you're ready to move from beginner to AI architect - and convert your skills into real income - this roadmap is your next step. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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

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

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

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

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Paperback. Condition: new. Paperback. Artificial intelligence is no longer just a chatbot.It is an operational control layer.OpenClaw for Revenue-Generating AI Systems is a practical, implementation-focused guide to building real AI-native systems that automate workflows, manage risk, scale securely, and generate recurring revenue.This book moves beyond prompt experimentation and shows you how to design, build, deploy, and monetize production-grade AI systems using OpenClaw.You will learn how to transform AI from a feature into a revenue engine.What You'll BuildInside this book, you'll implement fully structured, real-world systems including: An AI Proposal & Scope Generator with deterministic pricingA Compliance Validator with audit logging and rule enforcementA Research & Intelligence Engine with evidence tracingA Signal-First Trading Automation Agent with portfolio managementA Multi-Symbol Portfolio Engine with risk allocationA Production-Ready Dashboard with P/L monitoringA Secure, Scalable OpenClaw architectureEvery system includes: Folder structuresSkill definitionsDeterministic scriptsRisk gatesLogging patternsDeployment guidanceMonetization strategyNo theory without implementation.Who This Book Is ForThis book is designed for: Engineers building AI automation platformsAI entrepreneurs launching SaaS productsSystematic traders developing algorithmic systemsConsultants building AI-powered toolsTechnical founders scaling production AIIf you want to move from experimentation to production, this book provides the blueprint.What Makes This DifferentMost AI books focus on prompts.This book focuses on: Deterministic logic over guessworkRisk-controlled automationObservability and governanceCost engineering and scalabilityVertical specialization and defensibilityPricing, packaging, and 90-day launch strategyYou won't just build AI systems.You'll build AI businesses.From Build to MonetizeIn addition to technical architecture, you'll learn: How to price AI systems properlyHow to package and tier your productHow to build defensible AI moatsHow to verticalize your solutionHow to launch within 90 daysHow to scale responsiblyThe result is a structured path from code to revenue.AI is becoming infrastructure.The advantage will go to those who build with discipline, governance, and monetization in mind.If you're ready to build AI-native systems that operate in the real world - securely, scalably, and profitably - this book is your guide. 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. Condition: new. Paperback. Artificial Intelligence is no longer optional.Cloud platforms, generative AI systems, LLM applications, AI agents, and MLOps pipelines are redefining how companies operate - and how professionals earn.But with dozens of certifications from AWS, Microsoft, Google, NVIDIA, Databricks, MIT, Stanford, and more.Which certifications actually matter?Which ones increase salary?Which ones generate freelance income?Which stack leads to AI Architect-level authority?This book gives you a structured, monetization-focused roadmap.Inside This Book, You'll Discover: The complete AI certification landscape (AWS, Azure, Google Cloud, NVIDIA, IBM, Databricks, and more)A 90-Day Beginner-to-AI Engineer execution planA 6-Month Advanced Roadmap to AI Architect positioningGenerative AI & RAG specialization pathsMLOps, Kubernetes & Infrastructure stacking strategyAI Strategy & Governance positioning for enterprise rolesA numeric Income Leverage Scoring FrameworkROI analysis for every certification tierStep-by-step freelance monetization blueprintEnterprise consulting packaging strategySaaS launch pathway for scalable AI incomePersonal brand positioning frameworkWho This Book Is For- Software developers transitioning into AI- Cloud engineers adding machine learning capability- Data analysts moving into deployment roles- IT professionals targeting AI Architect promotions- Consultants expanding into AI services- Entrepreneurs building AI SaaS products- Career changers seeking structured AI entryThis is not an academic theory book.This is a practical execution manual.What Makes This Guide DifferentMost books list certifications.This book teaches you how to: Turn certifications into leverage.Turn leverage into income.Turn income into long-term career freedom.You will learn how to stack certifications vertically, not horizontally - building from Foundation Applied ML Generative AI MLOps Architect Strategy.The OutcomeBy following this roadmap, you will be able to: - Design deployable AI systems- Build RAG and AI agent architectures- Scale ML pipelines with MLOps- Package high-value consulting offers- Launch AI-powered SaaS products- Position yourself as an AI Systems ArchitectThe AI economy rewards precision, execution, and structured leverage.This book gives you the blueprint.If you're ready to move from beginner to AI architect - and convert your skills into real income - this roadmap is your 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. Condition: new. Paperback. GPT-5, Claude & Gemini: The Complete 2026 AI Handbook for Professionals A Practical Guide to Frontier Models, Agentic AI, and Industry TransformationAI is no longer optional. It is the operating system of the modern economy. But with new models launching every quarter, autonomous agents reshaping workflows, and regulations tightening worldwide, most professionals are struggling to keep up. Which model should you use? How do agentic systems actually work? What does the EU AI Act mean for your organization? And where is all of this headed?This book answers those questions - clearly, practically, and without the hype.What You'll Learn: GPT-5, Claude, and Gemini 3 are the three most powerful AI models available today, and each has distinct strengths. This handbook gives you a head-to-head comparison so you can choose the right model for the right task - whether that's coding, writing, analysis, or multimodal reasoning.But models are only the beginning. The biggest shift in 2026 is the rise of agentic AI - autonomous systems that plan, execute multi-step workflows, use tools, and make decisions with minimal human oversight. This book explains how agent architectures work, how to build and deploy them safely, and where the real ROI is showing up across industries.Inside This Book: In-depth analysis of GPT-5, Claude, and Gemini 3 - architecture, benchmarks, strengths, and ideal use casesThe agentic AI revolution - how autonomous agents are transforming software engineering, customer service, research, and operationsAI across six major industries: healthcare, software engineering, finance, manufacturing, creative production, and scientific researchRegulation and governance - the EU AI Act, AI safety research, organizational ethics frameworks, and compliance strategiesThe road ahead - edge AI, quantum computing, the economics of AI, career strategy, and predictions through 203060 professional illustrations, diagrams, and comparison charts embedded throughoutReady-to-use frameworks, prompt templates, and implementation roadmaps in the appendicesWho This Book Is For: Software engineers evaluating AI tools for their teams. Business leaders building an AI strategy. Technical professionals exploring AI applications in their field. Students and career changers who want a comprehensive, current picture of the AI landscape. Anyone who wants to move beyond the headlines and understand what is actually happening - and how to act on it.30 chapters. 6 parts. Over 200 pages of practical, evidence-based guidance.The AI revolution is not coming. It is here. This book helps you navigate it. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.