Items related to n8n for AI Systems Engineering
Synopsis
Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This book explores how to design and engineer production-grade automation platforms using n8n as a workflow orchestration foundation.
Rather than focusing on simple task automation, this book presents a systems-oriented approach to building scalable workflow architectures that connect applications, APIs, databases, cloud services, and AI capabilities into reliable operational systems.
You will learn how to design automation solutions using proven engineering principles, including event-driven architecture, workflow composition, integration patterns, distributed execution models, and platform engineering practices. The book examines how individual workflows evolve into reusable automation components and how organizations can establish internal automation platforms with governance, observability, security, and operational reliability.
The book covers practical approaches for integrating large language models, building AI-powered workflows, designing retrieval-augmented generation pipelines, and creating agent-based systems where intelligent components can reason, select tools, and execute controlled actions.
Key topics include:
Designing scalable workflow orchestration architectures
Building event-driven automation systems
Integrating APIs, webhooks, databases, and enterprise platforms
Creating reusable workflow components and automation patterns
Engineering reliable execution pipelines with error handling and recovery strategies
Applying AI and LLM capabilities within automation systems
Designing agentic workflows and autonomous execution patterns
Implementing security, governance, monitoring, and operational controls
Scaling automation platforms for enterprise environments
Written for software engineers, solution architects, DevOps professionals, platform engineers, and technical leaders, this book provides an architecture-first perspective on building the next generation of intelligent automation infrastructure.
By the end, readers will understand how to move beyond individual workflows and design automation ecosystems that are scalable, observable, secure, and capable of supporting the transition toward AI-native software systems.
"synopsis" may belong to another edition of this title.
Search results for n8n for AI Systems Engineering
Stock Image
n8n for AI Systems Engineering (Paperback)
Print on DemandSeller: Grand Eagle Retail, Bensenville, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This book explores how to design and engineer production-grade automation platforms using n8n as a workflow orchestration foundation.Rather than focusing on simple task automation, this book presents a systems-oriented approach to building scalable workflow architectures that connect applications, APIs, databases, cloud services, and AI capabilities into reliable operational systems.You will learn how to design automation solutions using proven engineering principles, including event-driven architecture, workflow composition, integration patterns, distributed execution models, and platform engineering practices. The book examines how individual workflows evolve into reusable automation components and how organizations can establish internal automation platforms with governance, observability, security, and operational reliability.The book covers practical approaches for integrating large language models, building AI-powered workflows, designing retrieval-augmented generation pipelines, and creating agent-based systems where intelligent components can reason, select tools, and execute controlled actions.Key topics include: Designing scalable workflow orchestration architecturesBuilding event-driven automation systemsIntegrating APIs, webhooks, databases, and enterprise platformsCreating reusable workflow components and automation patternsEngineering reliable execution pipelines with error handling and recovery strategiesApplying AI and LLM capabilities within automation systemsDesigning agentic workflows and autonomous execution patternsImplementing security, governance, monitoring, and operational controlsScaling automation platforms for enterprise environmentsWritten for software engineers, solution architects, DevOps professionals, platform engineers, and technical leaders, this book provides an architecture-first perspective on building the next generation of intelligent automation infrastructure.By the end, readers will understand how to move beyond individual workflows and design automation ecosystems that are scalable, observable, secure, and capable of supporting the transition toward AI-native software systems. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783598915383
Stock Image
n8n for AI Systems Engineering
Seller: California Books, Miami, FL, U.S.A.
Seller rating 5 out of 5 stars
Condition: New. Seller Inventory # I-9783598915383
Stock Image
n8n for AI Systems Engineering
Print on DemandSeller: PBShop.store US, Wood Dale, IL, U.S.A.
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9783598915383
Stock Image
n8n for AI Systems Engineering
Print on DemandSeller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
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. Seller Inventory # L0-9783598915383
Buy New
US$ 27.22
US$ 5.57 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: Over 20 available
Stock Image
n8n for AI Systems Engineering (Paperback)
Print on DemandSeller: AussieBookSeller, Truganina, VIC, Australia
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This book explores how to design and engineer production-grade automation platforms using n8n as a workflow orchestration foundation.Rather than focusing on simple task automation, this book presents a systems-oriented approach to building scalable workflow architectures that connect applications, APIs, databases, cloud services, and AI capabilities into reliable operational systems.You will learn how to design automation solutions using proven engineering principles, including event-driven architecture, workflow composition, integration patterns, distributed execution models, and platform engineering practices. The book examines how individual workflows evolve into reusable automation components and how organizations can establish internal automation platforms with governance, observability, security, and operational reliability.The book covers practical approaches for integrating large language models, building AI-powered workflows, designing retrieval-augmented generation pipelines, and creating agent-based systems where intelligent components can reason, select tools, and execute controlled actions.Key topics include: Designing scalable workflow orchestration architecturesBuilding event-driven automation systemsIntegrating APIs, webhooks, databases, and enterprise platformsCreating reusable workflow components and automation patternsEngineering reliable execution pipelines with error handling and recovery strategiesApplying AI and LLM capabilities within automation systemsDesigning agentic workflows and autonomous execution patternsImplementing security, governance, monitoring, and operational controlsScaling automation platforms for enterprise environmentsWritten for software engineers, solution architects, DevOps professionals, platform engineers, and technical leaders, this book provides an architecture-first perspective on building the next generation of intelligent automation infrastructure.By the end, readers will understand how to move beyond individual workflows and design automation ecosystems that are scalable, observable, secure, and capable of supporting the transition toward AI-native software systems. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. Seller Inventory # 9783598915383
Buy New
US$ 29.37
US$ 37.00 shipping
Ships from Australia to U.S.A.
Ships from Australia to U.S.A.
Quantity: 1 available
Stock Image
n8n for AI Systems Engineering
Print on DemandSeller: AHA-BUCH GmbH, Einbeck, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering. Seller Inventory # 9783598915383
Buy New
US$ 36.01
US$ 39.32 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 2 available
Stock Image
n8n for AI Systems Engineering (Paperback)
Print on DemandSeller: CitiRetail, Stevenage, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: new. Paperback. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This book explores how to design and engineer production-grade automation platforms using n8n as a workflow orchestration foundation.Rather than focusing on simple task automation, this book presents a systems-oriented approach to building scalable workflow architectures that connect applications, APIs, databases, cloud services, and AI capabilities into reliable operational systems.You will learn how to design automation solutions using proven engineering principles, including event-driven architecture, workflow composition, integration patterns, distributed execution models, and platform engineering practices. The book examines how individual workflows evolve into reusable automation components and how organizations can establish internal automation platforms with governance, observability, security, and operational reliability.The book covers practical approaches for integrating large language models, building AI-powered workflows, designing retrieval-augmented generation pipelines, and creating agent-based systems where intelligent components can reason, select tools, and execute controlled actions.Key topics include: Designing scalable workflow orchestration architecturesBuilding event-driven automation systemsIntegrating APIs, webhooks, databases, and enterprise platformsCreating reusable workflow components and automation patternsEngineering reliable execution pipelines with error handling and recovery strategiesApplying AI and LLM capabilities within automation systemsDesigning agentic workflows and autonomous execution patternsImplementing security, governance, monitoring, and operational controlsScaling automation platforms for enterprise environmentsWritten for software engineers, solution architects, DevOps professionals, platform engineers, and technical leaders, this book provides an architecture-first perspective on building the next generation of intelligent automation infrastructure.By the end, readers will understand how to move beyond individual workflows and design automation ecosystems that are scalable, observable, secure, and capable of supporting the transition toward AI-native software systems. Modern software organizations are moving beyond traditional automation scripts and isolated integrations toward intelligent, event-driven systems capable of coordinating complex business and technical processes. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9783598915383
Buy New
US$ 31.72
US$ 49.56 shipping
Ships from United Kingdom to U.S.A.
Ships from United Kingdom to U.S.A.
Quantity: 1 available
Seller Image
n8n for AI Systems Engineering
Print on DemandSeller: preigu, Osnabrück, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. n8n for AI Systems Engineering | Devlin Nexley | Taschenbuch | Englisch | 2026 | Devlin Nexley | EAN 9783598915383 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. Seller Inventory # 138047767
Buy New
US$ 27.77
US$ 78.64 shipping
Ships from Germany to U.S.A.
Ships from Germany to U.S.A.
Quantity: 5 available