What you learn here does not move when AI trends do.
I am a software engineer of ten years, currently at ZEP. I finished my master's at Seoul National University of Science and Technology, where this course is taught, researching data pipelines and distributed systems, with papers at BIGCOMP and in Frontiers in Big Data.
At ZEP I run a WebRTC cluster serving 4M MAU. I moved it from LiveKit Cloud to self-run OCI infrastructure and cut infrastructure cost by 60%.
I build Ouroboros, an open-source Agent OS: a framework that pins requirements down into a Seed through interviews and verifies execution results with deterministic gates. ZEP QUIZ (over 600K quizzes a month) runs an agent that improves its own tools. I presented this architecture at the ICML 2026 AI×Education workshop.
The first eight weeks are the academic track. We establish the definitions and the genealogy, then put classical MAS and modern protocols through a reproduction experiment each week. The last seven weeks are the project track. Teams build an agent transaction stack (discovery, negotiation, execution, payment, ledger) and cross-test it on demo day.