What you'll learn
- PROJECT 1: Build an autonomous financial agent that monitors MarketStack prices and rebalances Google Sheets portfolios using OpenAI logic.
- PROJECT 2: Deploy a conversational Voice Agent via ElevenLabs and Twilio that utilizes Supabase RAG for deep domain expertise.
- PROJECT 3: Construct a multi-agent Go-To-Market system using MCP and FireCrawl to scrape leads, enrich data, and schedule meetings.
- Build autonomous AI Agents using n8n that can plan, reason, and execute complex business workflows without writing a single line of code.
- Engineer real-time Voice Agents with ElevenLabs and Twilio that handle live phone calls, manage customer objections, and trigger business actions instantly.
- Implement Agentic RAG (Retrieval Augmented Generation) pipelines using Supabase vector stores to equip your agents with deep, proprietary knowledge
- Master n8n’s advanced capabilities including Webhooks, JSON data transformation, and Expressions to build enterprise-grade data pipes and integrations.
- Integrate LLMs (OpenAI, Gemini, Anthropic) with essential business tools like Google Sheets, Slack, Gmail, and Telegram to automate manual administrative tasks.
Requirements
- This course is for people of all backgrounds; whether you’re a professional software engineer or you’ve never written a single line of code, and everyone in between. The only requirement is a healthy appetite for building. We will do plenty of it!
Description
Amplify your business with n8n and ElevenLabs in just 3 weeks - no prior knowledge needed
It’s easy to see why n8n has been such a hit. In a matter of minutes, you can build an AI Agent from scratch with real-world business value. It’s seriously satisfying.
And in just three weeks time, you will be a pro at it!
Week 1 is about AUTOMATING your business.
You’ll make AI Agents that integrate with Google Sheets, Email, Slack, Telegram, Pushover and Marketwatch, using OpenAI models and open-source models.
Gain a deeper understanding of LLMs and go live with your first AI Agent on n8n with OpenRouter or OpenAI!
Week 2 is about ACCELERATING your business.
You’ll build Voice Agents with expertise in your business, with a RAG pipeline, powered by Gemini and OpenAI embeddings, and integrated with ElevenLabs and Supabase.
Week 3 is about AMPLIFYING your business.
You’ll build a complete multi-agent system with MCP, self-hosted n8n and Ollama. You’ll put advanced Agentic AI techniques into practice, like Context Engineering and Sub-agents with DeepSeek.
We’ll wrap up with a Capstone with high commercial impact - a classic Go-To-Market use case taken further than ever before, autonomously finding leads using MCP servers with Tavily, FireCrawl and Hunter, creating leads in Pipedrive and nurturing them.
The most surprising thing is that we deliver production-grade commercial functionality in under an hour. And without writing a line of code - just a couple of expressions and plenty of JSON.
Who this course is for:
- Entrepreneurs, Product Managers and Business people: you’ll be able to create impactful Agentic AI products without coding.
- AI Engineers: you’ll be able to apply AI to real-world use cases at an astonishing pace.
- AI Agency Leaders: you’ll be positioned to lead an AI Automation Agency to automate, accelerate and amplify your clients.
Instructors
Join 3.8M+ learners who study with Ligency.
With a 4.6 instructor rating, >1.1 M reviews, and 126 courses in 12 languages, we help engineers, leaders, and teams master the skills that power today’s AI revolution - then ship real results.
We start where the real world starts: with large language models and the products they power. You’ll learn the foundations of AI and Generative AI (gen AI), then ship production-grade systems - chatbots, copilots, automations, and AI agents. We go deep on LLM engineering: retrieval (RAG), evaluation, observability, safety, and the patterns teams use to run agentic systems at scale.
Our stack is practical and current. You’ll prototype fast with Python, LangChain, and LangGraph; explore models from OpenAI, Gemini, and Claude (including Claude Code); fine-tune and serve with Hugging Face and Ollama; and take it to production on AWS - from Bedrock to event-driven services. Need automation? We wire it together with n8n, clean interfaces, and CI/CD. Along the way you’ll master prompt engineering that holds up under load.
Where this leads: roles that ship. AI Engineer and LLM Engineer for those who love building; platform and MLOps paths for those drawn to reliability at scale; product and leadership tracks for the people moving Agentic AI from slide decks to business outcomes. The through-line is the same: learn fast, build faster, measure everything, iterate.
Start with our best selling course:
AI Coder: Complete Claude Code & Coding Agents Course - build complete products at speed with AI coding agents like Claude Code, Cursor, Copilot and Codex, no coding background required.
AI Engineer Core Track: LLM Engineering, RAG, QLoRA, Agents - a hands-on path from your first prompt to production patterns: 20+ models, RAG, QLoRA fine-tuning, and agents with LangChain/LangGraph.
AI Engineer Agentic Track: The Complete Agent & MCP Course - design, orchestrate, and deploy robust AI agents across OpenAI Agents SDK, CrewAI, LangGraph and MCP.
AI Engineer Production Track: Deploy LLMs & Agents at Scale - scaling patterns for pipelines, monitoring, and enterprise rollout on AWS with Bedrock, Google Cloud Platform, Azure and MLOps.
AI Builder: Create Agents, Voice Agents & Automations in n8n - wire up low-code AI agents, voice agents and business automations in n8n with ElevenLabs, RAG and MCP.
Practical Guide to AI Agents & Agentic AI with Claude Cowork - build six working no-code AI agents on your real tools (Gmail, Slack, Notion, Calendar) with Claude Cowork and MCP.
AI Leader: Generative AI & Agentic AI for Leaders & Founders - a concise playbook for strategy, governance, and ROI with Generative AI and agents.
If your goal is to level up quickly and ship something real, join us. Learn the concepts, touch the tools, build the thing - then take it to users. That’s the Ligency way.
Ed Donner is a technology leader and repeat founder of AI startups. He’s the co-founder and CTO of Nebula, the platform to source, understand, engage and manage talent, using Generative AI and other forms of machine learning. Nebula’s long-term goal is to help people discover their potential and pursue their reason for being.
Previously, Ed was the founder and CEO of AI startup untapt, an Accenture Fintech Innovation Lab company, acquired in 2021. Before that, Ed was a Managing Director at JPMorgan Chase, leading a team of 300 software engineers in Risk Technology across 3 continents, after a 15-year technology career on Wall Street. Ed holds a patent for a Deep Learning matching engine issued in 2023, and an MA in Physics from Oxford.