Learn information governance, privacy foundations, Canadian privacy law, AI risks, breach governance, data protection, records controls, and sector governance.
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Information governance and privacy are essential for responsible data use, digital trust, and regulatory accountability. Poor governance can create privacy harms, security gaps, bias concerns, weak records control, and increased exposure during audits, incidents, or automated decision-making.
The Information Governance and Privacy course covers data types, privacy foundations, Canadian privacy law, AI governance, automation risks, cybersecurity safeguards, breach governance, cloud and vendor oversight, records retention, and sector-specific governance considerations.
Learners will understand how privacy, data governance, AI oversight, protection controls, and stewardship responsibilities support accountable information practices. Certification is provided upon successful completion of the course.
Personal, sensitive, de-identified, and anonymized data governance
Privacy foundations, digital trust, data lifecycle, accountability, and fairness
PIPEDA, PPCDA, Québec Law 25, public-sector accountability, and access rights
Generative AI, chatbots, deepfakes, automated decisions, bias, and explainability
Security safeguards, breach governance, cloud, vendor, transfer, and residency controls
Privacy programs, PIAs, DPIAs, retention, deletion, and sector governance
There are no formal academic prerequisites for this course. Learners should have basic English reading and comprehension skills and a willingness to understand privacy accountability, data governance responsibilities, AI-related risks, and responsible information handling. A careful, ethical, and compliance-focused attitude will support successful learning.
