AI Builder: Create Agents, Voice Agents & Automations in n8n

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.

Ligency ​ Build Real-World AI Products Join 3.7M+ learners who study with Ligency. With a 4.6 instructor rating, ~1M reviews, and 123 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: LLM Engineering: Master AI, Large Language Models & Agents - a hands-on path from first prompt to production patterns (RAG, agents, evaluation, LangChain/LangGraph). The Complete Agentic AI Engineering Course - design, orchestrate, and deploy robust AI agents and agentic workflows. AI in Production: Gen AI and Agentic AI at Scale - scaling patterns for pipelines, monitoring, and enterprise rollout on AWS. Generative AI Executive Briefing: LLMs for Leaders - a concise playbook for strategy, governance, and ROI in Generative AI. 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.