Udemy
Build Enterprise AI Automation from Scratch: n8n × AI Agent
Artificial Intelligence · Business
Library / Artificial Intelligence
On Udemy
Learn how to automate everyday tasks and build AI-powered workflows using n8n, a flexible workflow automation platform.
This course is designed for beginners who want to understand workflow automation, AI automation, and AI agents through practical, easy-to-follow examples. You don't need previous experience with n8n or workflow automation to get started.
We begin with the fundamentals. You'll first understand what automation is and how traditional rule-based automation differs from AI automation and AI agents. You'll see simple real-world examples that make these concepts easy to understand before working with n8n.
Next, you'll get started with n8n Cloud, explore the interface, and learn how n8n workflows are built. You'll understand one of the most important concepts in n8n: nodes. You'll learn how trigger nodes start workflows and how other nodes perform actions, process information, and connect different applications.
You'll then explore essential n8n concepts such as credentials, expressions, webhooks, HTTP requests, conditions, and workflow logic. You'll learn how data moves from one node to another and how expressions allow you to dynamically use data from previous steps in your workflow.
Throughout the course, we'll use practical examples rather than focusing only on theory. You'll see how multiple nodes can be connected to create useful end-to-end automations.
We'll also explore webhooks and APIs, which allow n8n to communicate with external applications and services. You'll learn how a webhook can receive data and trigger a workflow, and how the HTTP Request node can be used to communicate with REST APIs.
Once you're comfortable with workflow fundamentals, we'll introduce AI-powered automation. You'll learn how AI can be added to a workflow to understand information, generate content, summarize data, classify information, and help make decisi
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Udemy: 2026-09-27 · Coursera: 2026-09-27
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