Machine learning (ML) is spreading quickly, partly because software to implement ML is now widely available (e.g., in Python). This means that ML is now sufficiently mature and available to be used as a design material. This course aims at designing with AI in one of two actual contexts (one inside the TU/e, i.e., the student working environment on the 4th floor in the Atlas building, and one outside the TU/e, i.e., the Museum through the City).