AI Builder: Create Agents, Voice Agents & Automations in n8n
4.8(2,858) on Udemy·21K enrolled
All levels 14.5 hours English Course Certificate
Our recommendation
A project-driven Udemy course structured as a three-week progression (Automate, Accelerate, Amplify), building real AI automation systems in n8n — agents integrated with Google Sheets, Slack, Telegram and OpenAI or open-source models. Practical and current for the no/low-code AI-automation trend. Note that n8n and the model APIs it calls have their own costs.
Good for: Building real AI automations and agents with n8n.
Less suitable if: You want to code agents from scratch or avoid third-party services.
Skills you'll gain
n8nAI automationAI agentsVoice agentsWorkflow integrationNo-code AI
Is this course right for you?
A good fit if you…
You want no/low-code AI automation
You like project-driven learning
You want to connect tools and models
Consider something else if you…
You want to code agents from scratch
You avoid third-party services
You already build with n8n
Requirements: None; accounts for n8n and any model APIs (each with their own costs).
Realistic time: Project-driven; several hours over three 'weeks'.
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.
What you'll learn
Build autonomous AI agents in n8n that plan, reason, and execute workflows
Engineer real-time voice agents with ElevenLabs and Twilio for live phone calls
Implement Agentic RAG pipelines using Supabase vector stores
Integrate LLMs with Google Sheets, Slack, Gmail, and Telegram for automation
Use the Model Context Protocol (MCP) to connect AI agents to external tools
Build a multi-agent sales system with lead generation, CRM, and outreach automation
This course includes
14.5h
On-demand video
Yes
Certificate
Yes
Mobile access
English
Language
What it costs
Udemy lists a high price but the course is nearly always on sale for roughly $12–20 with lifetime access — wait for a discount rather than paying full price. Separately, n8n has its own plans (self-hosting is free, cloud is paid) and the model APIs (e.g. OpenAI) are billed by usage — real extra costs beyond the course.
Comparison · LBS
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UDUdemy4.8(2,858)
AI Builder: Create Agents, Voice Agents & Automations in n8n
Price
Paid
$39.99 one-time · 30-day money-back guarantee
Duration
14.5 hrs
Level
All levels
Certificate
Course Certificate
UDUdemy4.7(36,179)
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents
You receive a Udemy completion certificate — a learning record, not a formal or accredited qualification.
Instructor
L&
Ligency & Ed Donner
Udemy 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.
About this provider
UD
Udemy
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