Courses

Build practical deep learning skills for Python-savvy professionals.

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.

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

Data Science and AI Principles is a Harvard Online course that gives you an overview of data science and AI systems with a nearly code- and math-free introduction to prediction, causality, visualization, data wrangling, privacy, ethics.

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

Learn to use R programming to apply linear models to analyze data in life sciences.

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

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

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

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.

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

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

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

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.

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

A focus on several techniques that are widely used in the analysis of high-dimensional data.

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

Explore the risks and rewards of data privacy and collection.

Build practical skills that will prepare you to interpret data, test ideas, and apply predictive and AI insights to real-world business decisions in this course from Harvard Business School (HBS) Online.

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.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

An on-campus program to help architects, designers, workplace professionals, and people experts design their workplace for 2026 and beyond.

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

Learn basic data visualization principles and how to apply them using ggplot2.

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

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