Course competence is developed throughout six modules. Upon completion, graduates will:
- be familiar with key cultural, philosophical, and aesthetic questions, and ethical debates around AI;
- have a basic understanding of common neural network architectures and be able to train and assess these neural networks for artistic and creative applications;
- be able to perform basic image processing and know the most important applications;
- be able to process sound with deep neural networks and know the most important applications;
- be able to process movement data with deep neural networks and know the most important applications;
- be able to perform basic Natural Language Processing with deep learning models and know the most important applications.