AI tools are everywhere.
Automation tools are everywhere.
But most people are just gluing things together without really understanding how to build reliable systems.
Calling a model via API is easy.
Designing a structured AI-powered workflow that actually works in production?
That’s different and that’s why I (Manuel) recorded a brand-new course:
We start with solid workflow fundamentals and run n8n locally in Docker - for free.
We build real-world examples like AI-powered email handlers, content pipelines, structured JSON processors and multi-platform publishing workflows.
And once the basics are in place, we go further:
You’ll create AI agents with tools, memory and decision-making abilities.
You’ll implement RAG with vector databases to “chat with your data.”
You’ll design real AI architectures instead of isolated prompts.
By the end of the course, you’ll be able to build complex automation systems that connect apps, APIs, data and LLMs without relying on black boxes.
