Google Research recently tested a massive online class model
for an internal engineering education program, with machine
learning as the topic, that blended theoretical concepts and
Google-specific software tool tutorials. The goal of this training
was to foster engineering capacity to leverage machine
learning tools in future products. The course was delivered
both synchronously and asynchronously, and students had the
choice between studying independently or participating with
a group. Since all students are company employees, unlike
most publicly offered MOOCs we can continue to measure
the students’ behavioral change long after the course is complete.
This paper describes the course, outlines the available
data set and presents directions for analysis.