A recent MIT course on data-centric AI, focused on ensuring data quality for machine learning models rather than only model architecture. It is more data-science heavy than foundational AI courses.

Commenters point to it as a newer, practical complement to foundational ML study, covering how to ensure good data quality for models.

On Reddit (2)

1. Recommendscmauck10r/learnmachinelearning2023in “Good Beginner Courses for ML?”

   Two **highly** recommended resources as an MIT graduate: AI/ML course that I took. This was my first AI/ML course and I had the same background knowledge that you listed. Taught by the late Prof Winston who was an incredible lecturer. He teaches the foundational aspects of AI/ML and discusses many…

2. Recommends44spsr/MachineLearning2023in “[P] We are building a curated list of open source tooling for data-centric AI workflows, looking for contributions.”▲ 3

   Thanks for the kind words! Make sure to check out the current open MIT course if you are just starting out: https://dcai.csail.mit.edu/

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