AI Builder: Create Agents, Voice Agents & Automations in n8n
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.
The honest take: at 4.8 stars and Highest Rated status, this is a genuinely advanced course for 2026's AI tooling landscape (MCP, agentic RAG, sub-agents) — it's squarely aimed at builders who already understand basic automation concepts and want production-grade, commercially deployable AI agent systems, not a beginner's first exposure to AI.
What you'll learn
This course includes
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- Price
- Paid$39.99 one-time · 30-day money-back guarantee
- Duration
- 14.5 hrs
- Level
- All levels
- Certificate
- Completion
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- 94 hrs
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- Intermediate
- Certificate
- Professional
- Price
- FreeAudit free · Cert $49/mo
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- FreeAudit free · HarvardX certificate available ($149)
- Duration
- 24 hrs
- Level
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- Certificate
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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.
Requirements
- No prior coding or AI experience required — just a willingness to build
Who this course is for
- Entrepreneurs and product managers wanting to build agentic AI products without coding
- AI engineers and automation agency leaders wanting production-grade agent systems