Prompt Engineering for AI Automation
A complete prompt engineering course: LLM basics, zero/few-shot prompting, structured outputs, chain-of-thought, and RAG for AI automation.
Course curriculum
1
Foundation Patterns
2
Advanced Patterns
3
Production Patterns
Frequently asked questions
Which AI models does this cover?
The patterns work with any modern LLM - OpenAI, Claude, Gemini, open-source models. I demonstrate primarily with OpenAI in n8n workflows.
Is this specific to n8n?
While examples use n8n, the prompt engineering patterns apply anywhere you're using AI - Claude Projects, direct API calls, other automation tools.
Do I get copy-paste prompts?
Yes! Every lesson includes ready-to-use prompt templates you can adapt for your workflows.
How is this different from generic prompt guides?
This is a complete end-to-end course that builds your understanding systematically - from LLM fundamentals through advanced techniques like RAG and chain-of-thought, all the way to a practical capstone project. You'll learn every technique that actually matters for building reliable AI systems, not just tips and tricks.
Can I get support?
Join my community on Substack where I answer questions and share additional tips. Premium members get priority support.
Ready to start learning?
Jump in and start building. Every lesson includes practical examples you can apply immediately.