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"item_title" : "n8n Workflow Engineering with AI and Scalable Systems",
"item_author" : [" Ambrose Benjamin "],
"item_description" : "n8n Workflow Engineering with AI and Scalable Systems is the advanced implementation guide for building high-performance, AI-powered automation platforms.This book focuses on taking everything from the previous volumes and scaling it into distributed, production-ready systems capable of handling enterprise workloads.You will learn how to integrate AI models, build intelligent document systems, process media with machine learning, and scale workflows using queues, workers, and modern DevOps practices.This is where automation becomes intelligent infrastructure.You will learn how to: Build AI-powered automation pipelinesDesign queue-based and distributed workflow systemsScale workflows using workers and load balancingImplement CI/CD and DevOps pipelinesBuild RAG and vector-based knowledge systemsProcess documents, audio, and vision data using AIMonitor and optimize production systemsBy the end of this book, you will be able to design and deploy enterprise-grade intelligent automation platforms that combine AI, scalability, and real-world system engineering.",
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n8n Workflow Engineering with AI and Scalable Systems : AI Pipelines, Queues, Workers, DevOps, and Enterprise Automation with OCR, APIs, and Cloud Infr
Overview
n8n Workflow Engineering with AI and Scalable Systems is the advanced implementation guide for building high-performance, AI-powered automation platforms.
This book focuses on taking everything from the previous volumes and scaling it into distributed, production-ready systems capable of handling enterprise workloads.
You will learn how to integrate AI models, build intelligent document systems, process media with machine learning, and scale workflows using queues, workers, and modern DevOps practices.
This is where automation becomes intelligent infrastructure.
You will learn how to:
- Build AI-powered automation pipelines
- Design queue-based and distributed workflow systems
- Scale workflows using workers and load balancing
- Implement CI/CD and DevOps pipelines
- Build RAG and vector-based knowledge systems
- Process documents, audio, and vision data using AI
- Monitor and optimize production systems
This item is Non-Returnable
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Details
- ISBN-13: 9798195910280
- ISBN-10: 9798195910280
- Publisher: Independently Published
- Publish Date: May 2026
- Dimensions: 10 x 7 x 0.4 inches
- Shipping Weight: 0.74 pounds
- Page Count: 188
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