Deploy, Test & Secure AI Workflows with n8n

About this course

Enterprise AI initiatives don't fail in planning. They fail in production. This course covers what most skip: deploying, securing, & keeping AI systems reliable under real operating conditions. Here is what you will master: Workflow Deployment & Exposure: Move n8n workflows from local to live, establish public access with ngrok, validate each of the deployment end to end, & ship with confidence. Production Optimization & Migration: Build workflows that typically handle uncertainty without breaking. Migrate from Docker to VPS & complete full production configuration. Monitoring, Logging & Debugging: Maintain full visibility into live AI systems with logs, alerts, & cost controls that keep operations predictable and accountable. AI Security and Evaluation: Protect business-critical workflows from manipulation and unreliable outputs using security controls, output scoring, advanced RAG, and MCP permission models. Built for automation engineers, enterprise teams, and AI professionals who need production-ready n8n systems. 200,000+ professionals trust LearnKartS across 160+ Coursera courses. Make your AI workflows production-ready. Start today.

Course objectives

• to teach effective workflow deployment and exposure
• to enhance production optimization and migration skills
• to provide knowledge on monitoring, logging, and debugging AI systems
• to instill practices for AI security and evaluation