Four tracks. No filler.
AI Engineering
Inference pipelines, eval harnesses, retrieval architectures, and production-grade prompting. We cover the full stack — from model selection through cost-per-call in production.
Quant Finance
Pricing theory, portfolio construction, and risk factor decomposition. The math behind the positions, not the stories around them. No Excel. All Python.
DeFi & Web3
Protocol mechanics, on-chain data analysis, and the overlap with traditional capital markets. For practitioners building on the infrastructure, not speculators betting on it.
Leadership & Org Design
Building teams around AI-era tools. Operator-led decision systems, technical management for non-technical executives, and how to structure a bench that compounds over time.
From application to alumni bench.
Apply
Submit your background and a specific learning goal. Reviewed by a mentor in the relevant track — not screened by an algorithm or an admissions coordinator.
Select
Cohort size is capped at 24. We read every application ourselves. The primary selection criterion: will this person sharpen the room.
Cohort
12 weeks. Live sessions twice a week, async problem sets, weekly office hours with your track mentor. Completion is tracked. The work is graded.
Bench
Alumni join the extended Qualiax bench. Job board, deal flow, co-investment optionality, and access to future cohorts as guest instructors.