-Advanced materials hold the potential to improve our lives and our world, but traditional methods of discovery are slow and expensive. "Self-driving" laboratories (SDLs) have the power to fast-track materials discovery by using AI and robotics to run lab experiments autonomously. State-of-the-art SDLs require interdisciplinary teams and skillsets that traditional degree-based programs do not provide. To address this gap, the [Acceleration Consortium @ University of Toronto](https://acceleration.utoronto.ca/) presents the *Autonomous Systems for Discovery* certificate containing short, hands-on courses that will provide familiarity with the terminology, principles, and tools of SDLs.
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