Complete prompt engineering course from fundamentals to production. Learn LLM basics, output control, zero/few-shot patterns, structured outputs, chain-of-thought reasoning, RAG, and task decomposition - then apply everything in a real-world capstone project.
The patterns work with any modern LLM - OpenAI, Claude, Gemini, open-source models. I demonstrate primarily with OpenAI in n8n workflows.
While examples use n8n, the prompt engineering patterns apply anywhere you're using AI - Claude Projects, direct API calls, other automation tools.
Yes! Every lesson includes ready-to-use prompt templates you can adapt for your workflows.
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.
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Jump in and start building. Every lesson includes practical examples you can apply immediately.
