Harvard School of Engineering and Applied Sciences

Learn how to implement tools and frameworks to bring powerful ideas to life.

Explore the roles that microbes play in the production, preservation, and enhancement of diverse foods in a variety of culinary traditions, and learn about the history of food fermentations.

A quantitative introduction to the energy system and its environmental impacts.

Explore the risks and rewards of data privacy and collection.

Get the opportunity to see TinyML in practice. You will see examples of TinyML applications, and learn first-hand how to train these models for tiny applications such as keyword spotting, visual wake words, and gesture recognition.

Learn the fundamentals of chemistry and energy, from the types of energy to atomic mass and matter to enthalpy and thermodynamics.

Learn the significance of electrochemistry, understanding how electrical, chemical, and mechanical energy are linked.

Expand your learning of chemistry and thermodynamics by exploring entropy, free energy, and equilibrium.

Explore the risks and rewards of data privacy and collection.

Focusing on the basics of machine learning and embedded systems, such as smartphones, this course will introduce you to the “language” of TinyML.

  Demonstrate your chemistry knowledge in the final exam.  

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

A gentle introduction to programming that prepares you for subsequent courses in coding.

HKS Executive Education and Harvard's John A. Paulson School of Engineering and Applied Sciences present a webinar featuring Harvard faculty Martin Wattenberg and Fernanda Viégas.

Learn how to use decision trees, the foundational algorithm for your understanding of machine learning and artificial intelligence.