In this tutorial, we will start with some basic mechanisms in Differential Privacy, and build up to training of complex differentially private classifiers. We will also cover some results in unsupervised learning, and some recent results on hyperparameter selection. Finally, we will discuss the problem of learning in the local model of differential privacy.