Automate Workflows with n8n

Automating workflows with n8n is becoming a critical skill for developers building modern, event-driven systems. As applications grow more interconnected, the ability to design flexible, intelligent workflows that integrate APIs, services, and AI models is what enables teams to scale operations without increasing complexity. I built this course to introduce developers to n8n for automation and integration. You’ll begin by exploring the foundational concepts of developer-centric automation, building your first real-time workflow by fetching issues from GitHub using webhooks. You’ll then add intelligence to automations with expressions and branching logic. The course provides a deep dive into the Code node for writing custom JavaScript or Python logic when a prebuilt node isn’t enough. Then, you’ll learn to build resilient automations, debug complex workflows, and integrate with any API. A major focus is AI: you’ll gain hands-on experience by integrating intelligence with AI agents, LLMs, and by building a robust knowledge base using retrieval-augmented generation (RAG) and vector stores. You’ll also learn how to consume external AI tools using the Model Context Protocol (MCP). The course concludes by covering essential production best practices, including deployment strategies and maintaining scalable automations in a live environment. Developers are already using n8n to automate complex systems at scale. If you want to build intelligent workflows that go beyond basic automation, this is where you start.