Build AI Agents with n8n

In this scenario-driven course, learn how to build an AI-powered pre-sales agent using n8n and a large language model (LLM) of your choice. Tobias Zwingmann—a managing partner at RAPYD.AI, an AI consulting firm—takes you through how to design a bot that starts small, having access to just a single tool. Then, take your agent to the next level, so it can not only recommend suitable products, but also calculate offers based on a custom pricing mechanic, create offer documents from internal templates, and even prepare emails that are ready to be sent out to prospects. Along the way, Tobias ensures that you’re not just learning tools—you’re solving real-world challenges. After finishing this course, you’ll be familiar with the core concepts of building custom AI agents in n8n and what it takes to move toward production-ready deployment. Whether you’re a software developer or a tech-savvy business professional, this course offers a quick start in building practical, high-impact AI agents.

Learning objectives
Design and deploy a functional AI agent using any LLM within n8n.
Describe how to add prebuilt tools in n8n that the agent can use (like sending emails via the Gmail node).
Create custom tools that the AI agent can access, including custom search or document creation from internal templates.
Explain how to configure the n8n agent to access tools autonomously.
Evaluate and iteratively improve agent responses using test queries and user feedback.
Identify core requirements to put an agent into production, including security, monitoring, and observability best practices.