Run Local AI Workflows with n8n and Ollama

Most AI automation tutorials rely on cloud APIs, which pose risks when handling sensitive data like financial reports or medical records. And as privacy regulations tighten and enterprises grow wary of sending sensitive data to cloud APIs, the demand for tools like Ollama and n8n is surging. In this course, AI expert Tobias Zwingmann shows you how to build production-ready AI workflows using n8n and Ollama, keeping all of your data on local infrastructure. Get a hands-on, project-based overview of building a secure automation pipeline—an ideal fit for IT professionals, data engineers, and automation specialists in finance, healthcare, or other compliance-heavy, regulated industries.

Learning objectives
Build secure, local AI workflows that process sensitive data without relying on cloud APIs, using n8n and Ollama.
Deploy production-ready automation pipelines with proper error handling, validation, and security controls for enterprise environments.
Design multi-step AI workflows that solve real-world business problems in compliance-heavy industries like finance and healthcare.
Evaluate and optimize local AI infrastructure performance to ensure scalable, reliable automation systems.