Automation enthusiasts
You’ve outgrown Zapier/Make-style automations and want the flexibility of n8n for more complex, reliable systems. You’re looking for workflows that don’t break when reality gets messy.
n8n for AI Workflows and AI Agents
Build AI-Powered Automations, Agents & RAG systems with n8n. Emails, Content Creation, APIs, Tools & Vector Databases
Course Overview
About This Course
You’ve probably seen “AI automation” demos that look impressive—until the first weird edge case hits and the whole thing falls apart. If your workflows feel like a pile of quick fixes (connect this to that, add an AI node, hope for the best), you’re not alone.
In this course, you’ll build your skills the way reliable automation is actually built: start with how n8n really works, then layer AI on top once the foundation is solid. You’ll work with core workflow mechanics and the parts that keep systems stable when inputs get messy.
By the end, you’ll be able to design automation systems from scratch—not just copy workflows. You’ll create setups that can classify and respond, generate and publish content, process files and structured outputs, and move into agent-style systems that can use tools, keep context, and pull the right information when it matters.
What You'll Learn
You’ll combine dependable n8n workflow design with AI Agents and RAG so your automations stay useful when real-world data gets unpredictable.
Design resilient workflows
Build automations around triggers, nodes, and data flow so they behave predictably. Add error handling so your workflows don’t collapse the moment an input is missing, messy, or unexpected.
Implement AI email automation
Set up AI-driven systems that classify incoming emails and draft responses based on content and context. You’ll be able to turn unstructured messages into consistent, actionable outputs.
Automate content publishing
Create pipelines that generate blog posts, social media content, and marketing copy, then publish across platforms automatically. You’ll be able to run repeatable content operations without manual handoffs.
Process files and binaries
Handle files and binary data inside n8n workflows and route them through downstream steps. You’ll also be able to shape outputs so later systems can reliably consume them.
Enforce structured JSON outputs
Force AI to return clean, structured JSON for downstream systems instead of unpredictable text. You’ll be able to build workflows where AI outputs can be parsed, validated, and used safely.
Build Agents and RAG
Create AI Agents that use tools (calculators, APIs, web browsers), search the live internet, remember context across conversations, and make logic-based decisions. Build RAG systems with Vector Databases to retrieve relevant info and power support experiences from your docs.
Ready to get started?
See enrollment optionsPrerequisites
A computer and internet connection to run and configure n8n workflows.
Who Is This Course For?
AI explorers
You’re tired of chat interfaces and want to turn AI into systems that actually do work. You want to move from “prompting” to building automations that act, decide, and adapt.
Business owners
You’re juggling operational tasks that should be automated, but you need solutions that are dependable—not fragile demos. You want practical systems you can run to handle communication, content, and internal processes.
Curriculum Overview
Start NowPreview the structure and pacing of this course before you begin.
Introduction14m
- 01Welcome & Course Overview0:34 min
- 02n8n Overview & Installation With Docker6:01 min
- 03Interface & Core Nodes3:02 min
- 04The First Project5:21 min
The Workflow Basics15m
- 01Section Introduction1:15 min
- 02Editing Fields1:37 min
- 03Splitting Out Fields1:36 min
- 04Validating Data With The IF Node2:42 min
- 05Adding Routed With Switch1:25 min
- 06Transforming Data2:45 min
- 07Merging Data1:35 min
- 08Sending Emails2:40 min
Building AI Workflows1h 1m
- 01Section Introduction: AI Workflows vs AI Agents1:46 min
- 02Getting Emails3:14 min
- 03Messaging The AI Model2:40 min
- 04Sending Slack Messages2:07 min
- 05Handling Binary Files2:46 min
- 06"Extract From File"3:20 min
- 07Creating Files: JSON vs Binary3:36 min
- 08JSON Schemas4:16 min
- 09Accessing Binary Metadata2:20 min
- 10The Blog & Social Media Generation Workflow1:58 min
- 11Preparing The Form Node1:44 min
- 12Using the OpenAI Nodes To Create Prompts & Posts3:50 min
- 13Sending HTTP Requests To Generate Images4:29 min
- 14Converting Base64 Strings to Binary1:31 min
- 15Handling the Google Gemini Image Output3:48 min
- 16Storing Data On Dropbox3:24 min
- 17Splitting Out Array Items3:31 min
- 18Adding The Social Media Routes3:09 min
- 19Preparing The Social Media Generation AI Nodes5:43 min
- 20Adding The Subworkflow2:35 min
- 21API Setup Instructions0:00 min
AI Agents & RAG (Retrieval Augmented Generation)43m
- 01Section Introduction0:49 min
- 02The AI Agent1:41 min
- 03Adding Web Search2:14 min
- 04Adding Context Memory1:37 min
- 05Adding Tools5:04 min
- 06Running the AI Agent3:18 min
- 07Introducing RAG2:34 min
- 08Retrieving Past Support Emails3:04 min
- 09Storing Data In The Pinecone Vector Database4:35 min
- 10Retrieving Data From The Vector Database3:19 min
- 11Getting Full Conversations From Gmail2:46 min
- 12Sorting Data & Removing Duplicates1:33 min
- 13Summarizing & Concatenating Data1:06 min
- 14Creating The AI-Email Draft2:03 min
- 15Adding A Loop2:21 min
- 16Adding An AI Agent5:01 min
Ready to Get Started?
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