Computer Science 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.

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

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Learn how to create, read, update, and delete data with relational databases.

This is CS50’s introduction to computer science and tech literacy for business professionals.

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

Lead the strategic response to cyber risk.

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.

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

This course from Harvard Business School (HBS) Online will equip you with a strategic understanding of how AI is transforming organizations.

AI in Action provides the insights and tools you'll need to understand and utilize AI in all its forms.

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.

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

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

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

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

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

Develop the clinical, operational, and regulatory perspective required to lead the adoption and scaling of digital and AI-driven care models.

Build practical deep learning skills for Python-savvy professionals.

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

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

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

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

Build a foundational understanding of AI concepts with this course from Harvard Business School (HBS) Online.

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

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.

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

The successful implementation of AI solutions in clinical practice requires teams that are skilled in multiple disciplines, including data science, user-centered design, subject-matter expertise, change management, and more. However, the health care field

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.

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