Essential context for anyone building or governing AI. Covers bias and fairness, interpretability, AI safety and alignment research, regulation, and responsible-AI practices from the major labs.
Sorted cheapest first. Click a column header to re-sort. Everyone — especially policymakers, leaders, and researchers.
| Course | Level | Duration | Price | Certificate | |
|---|---|---|---|---|---|
BlueDot Impact |
intermediate | 12 weeks, approx. 5 hrs/week (8 weeks learning plus 4-week project) | Free | Yes | Visit |
Microsoft · Microsoft Learn |
beginner | 9 units, approx. 51 minutes | Free | No | Visit |
University of Helsinki |
beginner | 7 chapters, self-paced (approx. 20 hours) | Free | Yes | Visit |
UNESCO with LG AI Research · Coursera |
intermediate | 10 modules, approx. 10 hours | Free | Yes | Visit |
Center for AI Safety |
advanced | Approx. 8 weeks of lectures and assignments, self-paced | Free | No | Visit |
Center for AI Safety · Coursera |
beginner | Approx. 4 hours, 3 modules | Free | No | Visit |
University of Colorado Boulder · Coursera |
beginner | 3 courses, approx. 2 months at 10 hrs/week | Free to audit Free to audit · $49/mo |
Yes | Visit |
Google Cloud · Coursera |
beginner | Approx. 1 hour | Free to audit Free to audit |
Yes | Visit |
No payment required. Several of these are complete university courses.
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.
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.
A free, text-based University of Helsinki course on non-maleficence, accountability, transparency, human rights and fairness in AI, built with the cities of Helsinki, Amsterdam and London. Ideal for policymakers, public servants and anyone who wants a rigorous but non-technical grounding in AI ethics.
UNESCO's first Coursera course, built on its 2021 Recommendation on the Ethics of AI, covers human-AI interaction, safety, fairness, privacy, transparency, sustainability and global AI governance. Best for professionals and policymakers who want the internationally agreed ethics framework straight from the source.
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.
A free, non-technical abridgement of the 'AI Safety, Ethics, and Society' textbook covering what AI can do today, the major risks from AI and governance strategies. A good first stop for policymakers, journalists and students before committing to a longer safety course.
Watch everything free; pay only if you want graded assignments and a credential.
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 one-hour Google Cloud micro-course on why Google adopted its AI principles and how to build a responsible AI practice inside an organization. A quick primer for teams adopting generative AI who need shared vocabulary on responsible use.
Understand what AI is, how it works, and how to use it — no coding required.
Executive education and strategy courses for leaders deploying AI.