Responsible AI Implementation is a six-week, intermediate course on the unglamorous work of turning AI ethics principles into operating controls. It is about the gap between a “Responsible AI” slide and an AI system that is actually fair, explainable, overseen by a named human, and auditable — and how a Nigerian organisation closes that gap under the NDPA 2023, a watching NDPC, and sector regulators such as the CBN, NAFDAC and NCC.
You will learn to mitigate bias, operationalise transparency and explainability, design human-in-the-loop oversight, stand up an ethics review board, conduct AI impact assessments across the lifecycle, and run an AI ethics audit. Throughout, international frameworks — ISO/IEC 42001, the NIST AI RMF, the OECD AI Principles, the UNESCO Recommendation and the EU AI Act — are treated as the toolkit, with the application localised to Nigeria.
For: AI governance professionals, compliance and risk officers, internal auditors, data scientists and AI engineers, project managers, and public-sector and university leaders moving from AI principles to operational accountability.
AI Risk Management & Assurance is a six-week, intermediate course on the practical work of evaluating and assuring artificial-intelligence systems. It teaches you to identify AI risks across the lifecycle, assess bias, hallucination, explainability and security exposures, design governance controls and human oversight, build risk registers and AI impact assessment reports, and run monitoring, testing and assurance — all anchored to the NIST AI Risk Management Framework (Govern, Map, Measure, Manage) and ISO/IEC 42001, and applied under the Nigeria Data Protection Act 2023.
By the end you will be able to run an AI risk assessment, populate an enterprise risk register, write a defensible AI impact assessment, select proportionate controls, stand up monitoring and incident response, and judge an organisation’s AI governance maturity.
For: Risk managers, internal auditors, compliance officers, cybersecurity and AI assurance professionals, AI project managers, and public-sector governance teams who must evaluate and assure AI in a Nigerian and African context.
AI Governance Policy Development is a six-week intermediate course on writing the policies that actually govern AI inside an organisation — acceptable use, generative-AI controls, risk and compliance, responsible-AI and ethics, vendor and data governance, and incident response. It is built for the Nigerian context: the Nigeria Data Protection Act 2023, a watching NDPC and NITDA, the National AI Strategy, and sector regulators such as the CBN, NAFDAC and NCC. You will not learn to admire policies — you will learn to draft enforceable ones.
Across the course you build a practical deliverable set: an enterprise AI governance handbook and a library of policy templates you can take back to your own organisation and put to work.
For: Compliance officers, risk managers, internal auditors, AI and project leads, legal and policy teams, and public-sector, university and healthcare administrators who must write or own AI policy rather than merely cite it.