Courses

AI Infrastructure for Trading Systems

How production AI systems for trading are designed and run: data pipelines and feature stores, low-latency inference and model serving, observability and drift detection, and the governance that keeps automated decisions accountable.

Lessons

  1. 01The AI stack behind a trading system
  2. 02Data pipelines and feature stores
  3. 03Low-latency inference and model serving
  4. 04Observability, drift and model decay
  5. 05Governance, guardrails and human oversight
  6. Quiz and certificate (10 questions)