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AI Automation with n8n: Build Real Workflows Step by Step
New
Rating: 5.0 out of 5(4 ratings)
111 students

AI Automation with n8n: Build Real Workflows Step by Step

Build, test, debug, and improve practical AI workflows in n8n using APIs, Google Sheets, prompts, and human review.
New
Created byMD Faisal Khan
Last updated 8/2026
English
English [Auto],

What you'll learn

  • Build beginner n8n workflows using triggers, nodes, connections, conditions, and structured data
  • Map and inspect JSON data as it moves between n8n workflow nodes
  • Add AI-assisted summarization, classification, and structured text processing to n8n workflows
  • Test and debug workflows using normal, edge-case, and failure inputs before relying on automation

Course content

4 sections • 14 lectures • 37m total length

  • Welcome — What You Will Build1:58
  • Instructor Checkpoint — How to Use This Course2:36
  • Build Your First n8n Workflow2:29
  • Hands On Demo — Build and Debug Your First n8n Workflow3:39
  • Build and Debug Your First n8n Workflow

Requirements

  • No prior n8n, automation, or programming experience is required
  • Basic computer and web-browser skills are enough to follow the course
  • Access to an n8n instance is recommended so you can follow the hands-on exercises

Description

This course contains the use of artificial intelligence.

Learn how to build practical AI-powered automations with n8n through step-by-step workflow projects designed for beginners.

This course focuses on learning by doing. Instead of spending most of the course on theory, you will work through practical n8n workflow examples that demonstrate how data moves between nodes, how AI can process that data, and how to test and debug automations before relying on them.

You will begin with the fundamentals of building an n8n workflow, connecting nodes, mapping fields, inspecting JSON data, and fixing common workflow problems. From there, you will build AI-powered workflows for text summarization, message classification, human-reviewed AI responses, Google Sheets enrichment, and API-based automation.

You will also learn how to improve AI prompts, inspect incorrect field mappings, test normal and edge-case inputs, handle sensitive requests more carefully, and compare expected results with actual workflow behavior.

The course finishes with a practical final project where you build an AI Customer Support Triage System. The workflow classifies incoming support requests, generates a structured AI response, routes sensitive requests for human review, and demonstrates how to test and debug the workflow before using it more broadly.

Some demonstrations use clearly labeled simulated n8n walkthroughs so you can visually follow the workflow-building process. You are encouraged to recreate the workflows in your own n8n instance using your own configured credentials.

By the end of the course, you will be able to:

  • Build and connect n8n workflow nodes

  • Map and inspect structured workflow data

  • Add AI summarization and classification

  • Work with Google Sheets and HTTP/API data

  • Design safer human-review workflows

  • Debug prompts and field mappings

  • Test workflows with normal, edge, and failure inputs

  • Build a complete AI-assisted automation project

No previous n8n, automation, or programming experience is required.

Who this course is for:

  • Beginners who want to learn n8n and AI automation through practical workflow projects
  • Software, IT, operations, and business professionals interested in low-code AI automation
  • Learners who want to understand how to build, test, debug, and safely improve AI-assisted workflows.

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