Courses

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand learning modules, expert-led sessions, and Harvard insights that help you apply AI to real business challenges—join today for access through September 2026.

Lead the strategic response to cyber risk.

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.

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

Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.

An overview of divination systems, ranging from ancient Chinese bone burning to modern astrology.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

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

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.

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.

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

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

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

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

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale consortium-generated genomic data.

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

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and physical sciences.

Generative AI: How to Use It and Why It Matters, a flexible, six-week online program from Harvard Kennedy School Executive Education, is designed to demystify this transformative technology.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

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

A non-technical introduction to Artificial Intelligence (AI) and Machine Learning that challenges participants to immediately apply their learnings and develop their own AI innovations with peers.

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.

An introduction to the intellectual enterprises of computer science and the art of programming.

Generative AI: How to Use It and Why It Matters, a flexible, six-week online program from Harvard Kennedy School Executive Education, is designed to demystify this transformative technology.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Learn about advances in interpreting biomedical signals and the use of machine learning and deep learning to aid in analysis and diagnosis.

Learn how to protect your own data, devices, and systems from today's threats.

This on-campus executive program is designed to equip leaders with the technical, strategic, and policy foundations necessary to navigate these critical emerging technologies.

Gain a deep understanding of the legal ramifications of clients’ technological decisions and policies.

Learn to forecast the weather just by looking out your window.