AI Builder: Create Agents, Voice Agents & Automations in n8n
Is this course right for you?
You wire up agents integrated with Google Sheets, Slack, Telegram and either OpenAI or open-source models, which puts it right on the no/low-code AI-automation trend and makes it genuinely practical if that's the direction your work is heading. It's aimed at building with n8n rather than coding agents from scratch, so it's the wrong course if you want to write them yourself or avoid third-party services.
Budget for the real costs beyond the course, because they add up: n8n has its own plans (self-hosting is free, cloud is paid), and the model APIs it calls, like OpenAI, are billed by usage. Udemy lists a high price but it's almost always $12–20 on sale with lifetime access — wait for the discount, and check it's current since n8n and AI tools move fast (as of 2026).
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About this course
Structured as a 3-week progression (Automate, Accelerate, Amplify), this course builds real AI automation systems in n8n: Week 1 covers AI agents integrated with Google Sheets, Slack, Telegram, and OpenAI/open-source models; Week 2 builds RAG-powered voice agents using ElevenLabs and Supabase; Week 3 covers self-hosted n8n, MCP servers, context engineering, and a capstone multi-agent sales system using FireCrawl, Hunter.io, and Pipedrive CRM.
Instructor
Ed Donner is co-founder and CTO of Nebula and a former AI startup founder (untapt, acquired 2021), holding a patent for a deep learning matching engine and an MA in Physics from Oxford.