Courses

Build practical deep learning skills for Python-savvy professionals.

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

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

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

Discover how artificial intelligence is transforming today's businesses and how you can leverage it to grow your company into an AI-first leader.

This course picks up where CS50 leaves off, diving more deeply into the design and implementation of web apps with Python, JavaScript, and SQL using frameworks like Django, React, and Bootstrap.

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

This course introduces learners to Machine Learning Operations (MLOps) through the lens of TinyML (Tiny Machine Learning). Learners explore best practices to deploy, monitor, and maintain (tiny) Machine Learning models in production at scale.

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

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

Learn about the development of 2D and 3D interactive games in this hands-on course, as you explore the design of games such as Super Mario Bros., Pokémon, Angry Birds, and more.

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

Master how to use AI in your everyday work and drive impact at your organization. Access on-demand content and expert-led sessions to help you apply AI to real business challenges—last day to join: Aug. 30, 2026. Access continues through Dec. 2026.

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.

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

Beyond Vibe Coding: Building AI Solutions to Transform Health Care is for leaders ready to move beyond strategy and into building, while ensuring the systems they create are safe, bounded, auditable, and evidence‑generating.

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

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

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.

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.

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

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

Agentic AI is changing how professionals and teams think about work, automation, and human-AI collaboration.

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

Lead the strategic response to cyber risk.

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

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

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