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Automate Workflows with n8n
Learn n8n for advanced automation. Build intelligent workflows using dynamic logic, AI agents, LLMs, and RAG systems. Then, integrate with APIs and deploy to production.
4.7
15 Lessons
2h
Updated 3 months ago
Join 2.9 million developers at
Join 2.9 million developers at
LEARNING OBJECTIVES
- A foundational understanding of developer-centric automation and real-time workflows using triggers and webhooks
- Proficiency in creating dynamic and conditional logic with n8n expressions and branching nodes
- Working knowledge of the Code node to write custom JavaScript for tailored solutions and complex transformations
- The ability to build, debug, and implement resilient automations that connect to any API or external service
- Hands-on experience integrating AI agents, LLMs, and building a knowledge base with RAG and vector stores
- Skills in creating reusable workflows and consuming external AI tools with the Model Context Protocol (MCP)
- A clear understanding of deployment strategies and best practices for running n8n in a production environment
Learning Roadmap
1.
Foundations of Developer Automation
Foundations of Developer Automation
Build your first real-time automations using triggers and webhooks for instant, event-driven workflows.
2.
Adding Intelligence and Custom Logic
Adding Intelligence and Custom Logic
Enhance workflows with dynamic expressions, branching logic, and custom JavaScript via the Code node.
3.
Advanced Integration and AI
Advanced Integration and AI
6 Lessons
6 Lessons
Integrate systems with APIs, build resilient workflows, and create intelligent AI agents with RAG and modular tools.
4.
Conclusion
Conclusion
2 Lessons
2 Lessons
Celebrate your achievement in mastering n8n and creating an intelligent AI agent.
Certificate of Completion
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Developed by MAANG Engineers
ABOUT THIS COURSE
This course introduces 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.
Trusted by 2.9 million developers working at companies
A
Anthony Walker
@_webarchitect_
E
Evan Dunbar
ML Engineer
S
Software Developer
Carlos Matias La Borde
S
Souvik Kundu
Front-end Developer
V
Vinay Krishnaiah
Software Developer
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