Courses

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

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.

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.

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.

This three-course program from Harvard Business School (HBS) Online will teach you the fundamental skills to confidently contribute to business decisions and decision-making.  

Transform educational environments by mastering the integration of emerging technologies and generative AI to drive learning and innovation.

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

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

Explore the risks and rewards of data privacy and collection.

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

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

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 process and convert raw data into formats needed for analysis.  

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.

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

Show what you’ve learned from the Professional Certificate Program in Data Science.

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

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.

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

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal inference.

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

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

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.

Explore the risks and rewards of data privacy and collection.

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

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.

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

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