Harvard University · on edX
Harvard's project-driven course on the algorithms behind AI: graph search, knowledge, uncertainty, optimization, machine learning, neural networks, and language models, each with a hands-on Python project. For programmers with Python experience who want rigorous fundamentals and a Harvard-backed free certificate.
Everyone — no technical background needed. This is an intermediate course in AI Foundations, running about 7 weeks, self-paced.
Free · optional edX verified certificate $299. Free CS50 certificate on completion via Harvard OpenCourseWare; $299 verified certificate listed by Harvard Online via edX. Seen 2026-11-01.
Pick a workflow you perform regularly, break it into steps, identify where ChatGPT can help, and build a practical plan with review points built in. For people who already use AI for one-off tasks and want to apply it consistently; OpenAI recommends AI Foundations first.
Anthropic's 4D framework (Delegation, Description, Discernment, Diligence) for working with AI effectively, efficiently, ethically and safely, developed with professors Joseph Feller (University College Cork) and Rick Dakan (Ringling College). For anyone from first-time users to experienced practitioners who wants a tool-agnostic way to decide what to hand to AI and how to check its work.
Andrew Ng explains AI terminology, what AI can realistically do, how to spot AI opportunities in your organization, and how to work with AI teams. Ideal for managers, executives, and non-engineers who need to talk about AI credibly without writing code.