Center for AI Safety
Dan Hendrycks' technical course on safety engineering, adversarial robustness, anomaly detection, trojans, machine ethics and systemic AI risk, with coding assignments. For ML practitioners and graduate students who want hands-on exposure to empirical AI safety research.
Everyone — especially policymakers, leaders, and researchers. This is an advanced course in AI Ethics, Safety & Policy, running about Approx. 8 weeks of lectures and assignments, self-paced.
Free. Lectures, slides, notes and coding assignments are openly available; a facilitated virtual program runs periodically by application. Seen 2026-11-01.
The leading structured course on AI alignment, combining curated readings with weekly facilitated small-group discussions and a capstone project. Aimed at engineers, researchers and policy people who want to move into AI safety work.
Three CU Boulder courses on current issues in AI ethics, AI and society's future, and AI ethics and policy, updated in 2026. Suited to students and professionals who want a university-backed ethics specialization and can also count toward CU Boulder credit pathways.
A free Microsoft Learn module on the six responsible AI principles (fairness, reliability and safety, privacy and security, inclusiveness, transparency, accountability) and how to turn them into governance systems. Useful for business leaders and compliance teams building an AI governance policy.