Introduction to AI for Discovery using Self-driving Labs#
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Note
If you haven’t already, watch the welcome video below to learn about the course and its structure.
In this course, you will build a minimal working example for a self-driving lab, using dimmable LEDs and a light sensor to perform a color-matching task. This introduction will help you implement microcontroller programming via a Pico W, Bayesian optimization via the Ax Platform, device communication via MQTT, and database integration via MongoDB. Finally, you will piece together the individual components to complete your self-driving lab. This introductory course will prepare you for deeper dives in data science, robotics, software development, and system design in later microcourses.
View prerequisites, learning outcomes, and topics.
Register to gain access to quizzes and assignments.
Begin working through modules, one-by-one.