If you’re a data scientist or you work with machine learning (ML) models, you have tools to label data, technology environments to train models, and a fundamental understanding of MLops and modelops.

Hands-on learning, learning by doing, learning through experience—no matter what you call it, the premise is the same. Most people learn faster and better when they’re actively involved in the process ...