Feature Engineering

Feature engineering is the process of transforming raw data into the inputs that make ML models work — and a feature store is the system that ensures those inputs are computed consistently between training and serving. ## Why this appears

You'll learn how this concept slots into the production systems you'll be expected to design in interviews — the same pipelines used at Anthropic, OpenAI, Cohere, and Google DeepMind.

Includes a worked example with annotated code, the common mistakes interviewers probe for, and a glossary of the terms you'll need to use fluently.