Cracking the ML System Design Interview (6-week paid Cohort)

Please Register at maven course to participate in the Cohort.

From business problem to reliable ML solution

Can you design the complete ML system in production?
This 6-week course helps you crack the ML system design interview. You will learn the mental model and reusable framework to design and defend ML systems across the industry problems: recommendation and ranking, forecasting and fraud detection, knowledge-grounded RAG applications, and tool-using agent and harness. Instead of memorizing architecture diagrams, you will practice turning an ambiguous question into a structured system design—with success metrics, data flows, model choices, evaluation plans, reliability safeguards, and explicit trade-offs.

By the end, you will have a practical ML system design framework, four reusable case designs, and a 1-1 mock interview coaching that help you communicate like an experienced practitioner who can take a business requirement from idea to reliable production.

Who this course is for

• Data scientist or SDE preparing for Machine Learning Engineer interview
• SDE moving into ML engineer role
• Technical Product Manager or Engineering Lead responsible for AI products

What is included:

• 6 live sessions with Yan on Saturdays
• 1-1 mock ML system design interview included
• lifetime access to course materials and recordings on Maven

Houston machine learning members receive 20% off cohort registration with HML2026.