Learn From People Who Are Still Doing The Work.

Isuru doesn't draw a line between building and teaching. He has shipped AI systems into production for real clients, and he teaches from that experience. When he walks students through agent architecture or context engineering, he's sharing decisions he has actually made — including the ones that didn't work the first time.

What students take away isn't just technical knowledge. It's a way of thinking through problems before writing a single line of code.

Nimesha runs production infrastructure that can't afford to fail. At BuildrLabs, he teaches the Advanced Bootcamp of the Agentic AI Pathway: taking the systems students have built and making them production-ready.

His sessions cover what doesn't show up in documentation — what breaks at 2am, how to write the runbook after, and why the rollback plan matters as much as the deploy.