Connect everything
Integrate AI models (OpenAI, Claude, Gemini) with CRMs, email, databases, Slack, Google Sheets, and hundreds of other apps.
Enrollment Opening Soon🎓 Classes Begin: February 2027
AI Automation with n8n
Learn AI automation with n8n by building real, production-ready workflows that connect your tools, APIs, and data so repetitive tasks run 24/7 without manual work.
10 Weeks
Program Duration
Sundays
Live Sessions Only
2 hrs
Per Session
6
Hands-on Projects
What this course is about
AI Automation bridges the gap between powerful AI models and the everyday tools your business already uses. You will progress from automation foundations to production-ready, agentic workflows built entirely on n8n, the open-source platform teams are standardizing on.
Build AI agents
Design multi-step agentic workflows that reason, retrieve information, and take actions autonomously.
Ship to production
Handle errors, scale with webhooks, schedule runs, monitor performance, and deploy workflows your team actually relies on.
Who this course is for
This is for you if
- You do not need Python basics or a technical background
- You want to automate repetitive tasks at work
- You are a freelancer, solopreneur, or small business owner
- You want to offer AI automation as a service
- You are curious about agentic AI beyond just ChatGPT prompting
This is not for you if
- You need deep ML model training (see our AI Engineering course)
- You are looking for a pure coding course
- You expect results without doing the exercises
What you will build
Every module ends with a practical workflow project. By the end, you will have shipped six portfolio-ready automations.
Smart Email Triage Bot
Auto-classify incoming emails by urgency and topic using an LLM, then route them to the right folder or person in Gmail.
n8nGmailOpenAI
Lead Enrichment Pipeline
When a new contact enters your CRM, automatically research them online, summarize findings, and update their record.
n8nHubSpotWeb Search
AI Content Repurposing Engine
Feed a blog post URL and automatically generate Twitter threads, LinkedIn posts, and newsletter snippets.
n8nClaude APIModel Routing
RAG Customer Support Agent
Build a support bot that answers questions from your own knowledge base using retrieval-augmented generation.
n8nPineconeOpenAI Embeddings
Automated Reporting Dashboard
Pull data from multiple sources on a schedule, have AI write the narrative, and deliver a Slack report every Monday.
n8nGoogle SheetsSlack
Multi-Agent Customer Support System
Extend your Module 4 support agent into a full multi-agent pipeline with routing, memory, MCP tool access, and human-in-the-loop approval steps.
n8nMulti-AgentMCP
Course curriculum
6 modules, 40+ lessons, beginner-to-advanced progression.
Foundations of AI Automation
Understand what automation is, why AI changes everything, and get both tools installed and configured.
n8nBeginner
- What is AI automation? Use cases and mental models
- Tour of the n8n canvas: nodes, executions, credentials
- Setting up your n8n instance (cloud + self-hosted)
- Connecting your first AI model (OpenAI / Claude)
- Understanding triggers, actions, and data flow
- Building and testing your first workflow end-to-end
- Project: Smart Email Triage Bot
Working with APIs & External Data
Learn to pull data from any API, transform it with AI, and push it where it needs to go.
n8nBeginner-Intermediate
- HTTP requests in n8n: GET, POST, headers, auth
- Parsing and transforming JSON data
- Using expressions and JavaScript in n8n nodes
- Webhook triggers: receiving data from external systems
- Connecting CRMs: HubSpot, Notion, Airtable
- Error handling: try/catch, fallback branches
- Project: Lead Enrichment Pipeline
Prompt Engineering for Automation
Design prompts that produce reliable, structured outputs you can feed into the next step of your workflow.
n8nIntermediate
- Prompting for structured JSON outputs
- System prompts, roles, and few-shot examples
- Chaining prompts: using one output as the next input
- Handling hallucinations and validation in workflows
- Model selection: GPT-4o vs Claude vs Gemini vs Ollama for automation
- Cost optimization: batching, caching, model routing
- Project: AI Content Repurposing Engine
RAG & Knowledge-Powered Workflows
Give your automations long-term memory and the ability to answer questions from your own data.
n8nIntermediate
- How RAG works: embeddings, vector stores, retrieval
- Chunking and embedding documents in n8n
- Setting up Pinecone / Qdrant as a vector store
- Building a retrieval node: semantic search in workflows
- Grounding LLM answers in retrieved context
- Keeping your knowledge base fresh: ingestion pipelines
- Project: RAG Customer Support Agent
Scheduling, Monitoring & Production Workflows
Move from one-off experiments to reliable, observable automations your business can depend on.
n8nIntermediate-Advanced
- Cron schedules and time-based triggers
- Idempotency: safely re-running workflows
- Securing webhooks: HMAC verification, auth, and rate limiting
- Logging runs and debugging failures
- Alerting: Slack / email notifications on error
- Deploying n8n to production: Docker & VPS
- Version control for workflows: exporting and diffing
- Project: Automated Weekly Reporting Dashboard
Building Multi-Agent AI Workflows
Extend your Module 4 support agent into a full multi-agent system with tool access via MCP, human oversight, and a production deployment.
n8nAdvanced
- What are AI agents? ReAct, plan-and-execute patterns
- n8n's AI agent node: tools, memory, and iteration
- Model Context Protocol (MCP): exposing n8n workflows as tools for AI clients
- Giving agents tools: web search, code execution, file I/O
- Human-in-the-loop: approval gates and pause/resume
- Multi-agent coordination: passing context between agents
- Extending your support agent: classification, routing, and escalation
- Security, rate limits, and cost controls for agents
- Capstone project: Multi-Agent Customer Support System (builds on your Module 4 RAG agent)
Tools and stack you will use
n8n
n8n
The open-source, self-hostable workflow automation platform this entire course is built on, with native code nodes for full control over data and logic.
Self-hostedOpen sourceCode nodes
AI+
n8n AI & Agents
n8n's native AI Agent node, memory, and Model Context Protocol (MCP) support for exposing your workflows as tools to AI clients like Claude.
AI Agent nodeMCPMemory
LLM
AI Models
Use OpenAI GPT-4o, Anthropic Claude, Google Gemini, and local models via Ollama throughout the course, then learn how to route between models by use case.
GPT-4oClaudeGeminiOllama
VS
Vector Stores
Pinecone and Qdrant for semantic search and RAG workflows. Set up and query your own vector database.
PineconeQdrant
BA
Business Apps
Gmail, Google Sheets, Slack, HubSpot, Notion, Airtable, and more, the apps your team already uses, now AI-enabled.
GmailSlackHubSpot
Py
Python (optional)
Optional Python snippets for custom logic inside n8n code nodes. Deep Python knowledge is not required.
Code nodesOptional
Your instructor
Vincent Amedekah
Data Engineer · AI/ML Engineer · Educator
Vincent brings over a decade of practical engineering experience building AI-powered systems in production environments. In this course, he teaches a systems-first approach so you can move from one-off automations to reliable workflows teams can trust.
n8nMCPPythonOpenAILangChainData EngineeringAI/ML
One Mission:Help You Thrive with AI.
Whether you are just getting started or ready to level up, our programs help you build practical AI skills you can use in real life and work.