Show HN: New course on real-world ML systems

This upcoming course covers topics such as bootstrapping datasets and labels, model experimentation, model evaluation, deployment and observability.

The format is 4 weeks of project-driven learning with a peer cohort of motivated, interesting learners. It takes about 10 hours total per week including interactive discussion time and project work. First iteration of the course starts July 11th. We are offering a limited number of scholarships for the course (details on the course page)