Arseny Kravchenko is a software engineer and ML practitioner publishing course material on the system-design side of machine-learning work — the architectural decisions that show up when ML systems move from notebooks to production.
His CourseFlix listing carries Machine Learning System Design — a focused treatment of the ML-system-design discipline: feature stores, model serving, monitoring, retraining loops, A/B testing for models, and the trade-offs that separate working production ML from research-grade ML.
Material is paid and aimed at ML engineers preparing for ML-system-design interviews or doing real architectural work on production ML systems. For broader content, see CourseFlix's Machine learning category page.
