Courses

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

Learn about the advances in artificial intelligence that are transforming the use of natural language processing.

Learn about advances in interpretation of medical images using deep learning systems that can aid in clinical screening and diagnosis.

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

Combine literary research with data science to find answers in unexpected ways. Learn basic coding tools to help save time and draw insights from thousands of digital documents at once.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

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 to use machine learning in Python in this introductory course on artificial intelligence.

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.

Contracts are a part of our everyday life, arising in collaboration, trust, promise and credit. How are contracts formed? What makes a contract enforceable? What happens when one party breaks a promise?

Lead the strategic response to cyber risk.

An online executive program to explore how policy and technology, together, can address critical threats of the cyber world.

The structure, annotation, normalization, and interpretation of genome scale assays.

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.

Explore the foundational principles of artificial intelligence (AI) and its transformative applications in medicine and biomedical research.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

An introduction to programming using Python, a popular language for general-purpose programming, data science, web programming, and more.

This course is a variant of Harvard University's introduction to computer science, CS50, designed especially for lawyers (and law students).