"The AI Engineer will likely be the highest-demand engineering job of the decade."
Six modules, about ten hours of video.
Together we find out what AI engineering really means - based on text-book definitions, but also based on recent real-world job postings for AI Engineers.
Tokens, context windows and everything about the prbabilistic nature of LLMs
Prompting, streaming, structured outputs, function calling. Patterns that hold up in production.
Writing evals, measuring regressions, and shipping AI features with confidence.
Tracing LLM calls, cost monitoring, debugging non-deterministic systems.
Rate limits, fallbacks, caching — shipping AI apps people rely on.
Get notified when the course launches. No spam.
Focus on the fundamentals, not the hype.


I'm Lukas Lechner— an AI Engineer and Educator. I've already spent a decade shipping software and teaching more than 12,000+ engineers. Now I focus on building applications on top of LLMs, and I teach what I wish I'd had: a pragmatic, no-hype path from Developer to job-ready AI Engineer.