This is the first course in the AI Curriculum by Edward Donner. In this course, I learned how to build AI-powered workflows and automations using n8n.
Here are the main things I learned:
- Building workflows in n8n — I learned how to create workflows and connect different services and tools.
- Working with different AI models — The instructor showed how to integrate chat models such as OpenAI, Gemini, and DeepSeek into n8n workflows.
- Connecting external tools — I learned how to connect services such as Google Drive, Gmail, Google Calendar, Pushover, and Telegram.
- RAG with Supabase — The course introduced how to build Retrieval-Augmented Generation (RAG) workflows using Supabase.
- Working with leads in Pipedrive — The practical projects showed how to integrate Pipedrive and use AI automation to work with leads.
- Voice agents with ElevenLabs — I especially liked how easy it is to integrate ElevenLabs into an n8n workflow and build voice-based AI applications.
My thoughts
I liked the practical approach of the course. Instead of only explaining concepts, the instructor showed how to build real workflows and connect different services together.
The course also helped me understand that n8n can be a powerful tool for connecting AI models, APIs, databases, and everyday services without having to build everything from scratch.
This was a good introduction to AI automation, and I’m looking forward to continuing with the next courses in the AI Curriculum.