[D] What would you include in a first ML course? • r/MachineLearning

Once you have some basic algorithms/examples to work with, you can use them to explain the main issues of over/underfitting. Based on the level of the people, this can be used for discussing learning theory: what ERM is and why SRM might be better. From there you could easily cover the VC-Dimension and dive into SVMs.