The course will cover various subjects related to fundamental concepts in deep learning. The course starts with the introductory concepts in deep learning, such as neural networks, training, high-level features, and performance evaluations. In the following, the course covers different application fields of deep learning, to what extent the methods succeed, and what the next step is. The course concludes with ethical, legal, and privacy issues in deep learning.