Free AI Governance Course

This free AI governance course explains how organizations can use AI with clearer rules, roles, and safeguards. You will study AI governance, stakeholders, ethical harms, human oversight, the business case for responsible AI, global AI regulations, sector rules, cross-border risks, fairness, bias, transparency, privacy by design, accountability, robustness, inclusive design, and practical requirements.

The course also covers AI risk assessment, impact assessment, model risk management, vendor risk, scoring, documentation, data quality, consent, sensitive data, access control, policy design, approval gates, training, monitoring, audit trails, drift, incident management, redress, reporting, generative AI, agentic AI, intellectual property, provenance, sustainability, and career paths. By the end, you should be able to discuss responsible AI choices and help structure a basic governance program.