AI for Discovery 

offered by University of Toronto

Differentiate between various machine learning strategies for the design and discovery of molecules and materials

Develop scientific programming skills in Python including numerical programming, data science, applied machine learning, plotting and visualization

Understand the core concepts of Bayesian optimization, specifically as it pertains to autonomous experimentation

Create and execute an optimization strategy for a self-driving laboratory or materials acceleration platform