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In Practice: AI, Testing & Best Practices

In Practice: AI, Testing and Best Practices is the third n8n Foundations course. It teaches making workflows intelligent with AI, reliable through testing and debugging, and maintainable through organisation, taking them toward production use.

Open at n8n ↗Common questions

Who it suits

  • People who can build workflows and want them to be reliable, documented and production-ready.
  • Builders adding AI agents to their automations.

What it covers

  • AI-powered workflows with the AI Agent node, tools and memory, and the difference between AI chains and agents.
  • The execution log and debugger, and error handling patterns such as Try/Catch.
  • Naming conventions, folders, tags, sub-workflows and documentation.
  • Publishing, scheduling, monitoring and recovery, plus templates and version control.

Before you start

  • An n8n instance, either n8n Cloud (n8n lists a free trial) or self-hosted, publicly reachable.
  • An API key for the AI section: n8n uses Groq in its examples, and says any provider with a free tier will work.

Common questions about In Practice: AI, Testing & Best Practices

Do I need an AI provider account?
Yes, an API key for the AI section. n8n uses Groq in its examples and says any provider with a free tier will work.
How is it organised?
Three sections, AI introduction, testing and debugging, and workflow organisation and best practices, then a final exam.
What do I need?
An n8n instance, either n8n Cloud (n8n lists a free trial) or self-hosted, publicly reachable.

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Where this comes from

Written from n8n’s own pages, read on 2026-10-13. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with n8n and this is not an endorsement.