First off, awesome to hear that there are new grad courses on this topic. Sounds like the course focused more on pre-processing techniques, which can be helpful but agree with your point. Just to note, there are also training-time modeling techniques that can help with model bias depending on the application (TensorFlow Model Remediation for example).

(Disclaimer I helped to build TensorFlow Model Remediation)