Machine learning proper encompasses a swath of applied statistical techniques, of which deep learning is only one. Machine learning could refer to linear regression, SVM, hidden markov models, dimensionality reduction, neural nets, or any number of other loosely related methods. Intro ML classes often don't even get to deep learning because theres so much more fundamental stuff to cover.