Build AI Agents with LLMs in n8n
Stop wiring isolated AI nodes and start building complete, production-ready AI workflows. Learn to build real AI agents in n8n by working through practical LLM chains, RAG pipelines, summarization systems, and autonomous agent automations.
This course includes.
Curriculum & lectures.
+ Build LLM Chain in n8n Workflows 1 lecture
+ Build RAG workflow with Question and Answer Chain in n8n 2 lectures
+ Build Summarization workflow with n8n AI Chain 1 lecture
+ Build AI Agents in n8n Automations 3 lectures
+ Connect tools to AI Agent in n8n 3 lectures
About this course.
You’ll start by building LLM chains in n8n workflows, learning how to automate tasks using the LLM Chain node. From there, you’ll construct a full RAG workflow with Question and Answer chains, including creating and managing knowledge data for retrieval-based responses.
Next, you’ll build summarization workflows using n8n AI Chains, allowing your automations to condense and process large volumes of information. Finally, you’ll move into AI agent automations, where you’ll connect agents to language models, enable web search, and implement conversation memory so agents can retain context across interactions.
By the end of this video course, you won’t just understand how n8n works with LLMs; you’ll be able to design intelligent, multi-step automations that behave like real agents.
✔️ Lifetime access
✔️ Source files included (JSON workflows to import into n8n)
Stop building basic workflows. Start building AI agents that actually think.
Ready to start building?
Stop wiring isolated AI nodes and start building complete, production-ready AI workflows. Learn to build real AI agents in n8n by working through practical LLM chains, RAG pipelines, summarization systems, and autonomous agent automations.