The Chief AI Governance Officer Programme is the campus’s executive flagship: a six-week leadership programme for the person who will own artificial intelligence governance at the most senior level of a Nigerian enterprise. It assumes you already understand what governance is and asks the harder question — how do you lead it across an entire organisation, answer to a board, satisfy the NDPC and sector regulators, and keep the enterprise both safe and competitive while AI reshapes it.
This is not a controls course. It is about strategy, accountability, operating models, regulatory posture, crisis leadership and organisational change — the work of a Chief AI Governance Officer (CAIGO) who sits in the C-suite and is answerable when AI helps or harms.
For: Chief AI governance officers, chief risk and compliance officers, general counsel, chief data and digital officers, and the executives and non-executive directors who appoint and oversee them.
Enterprise AI Assurance Leadership is a six-week, executive programme for the people who must give the board, the regulator and the market confidence that an organisation’s AI is governed, audited and accountable. It is not a course in building models or writing policies. It is about leading assurance — standing up the structures, audits, metrics and accountability that let a senior leader say, with evidence behind them, that the organisation knows what its AI is doing and can prove it.
Set firmly in the Nigerian context — the NDPA 2023, a watching NDPC, NITDA’s national direction, and sector regulators such as the CBN — the programme treats assurance as a leadership discipline, connected to the things a board already understands: liability, reputation, regulatory exposure and trust. By the end you will be able to design an enterprise assurance function, commission and read AI audits, build governance metrics that mean something, and lead the transformation that makes assurance sustainable.
For: Chief risk and compliance officers, chief audit executives, heads of AI governance, executive sponsors of AI programmes, and the senior leaders who must answer for AI to a board or a regulator.
Advanced AI Governance Strategy is a six-week executive programme for directors, C-suite leaders and senior governance owners who must steer an organisation’s use of AI from the top. It is not a controls course. It is about strategy, operating models, accountability and oversight: how a board sets the appetite, how the executive builds an operating model that scales, and how leadership turns “we have a policy” into a governed enterprise capability under the Nigeria Data Protection Act 2023 and a watching NDPC.
By the end you will be able to frame AI governance as a board-level strategic concern, choose and defend an operating model, sequence a multi-year governance transformation, read the maturity of your own organisation, lead responsibly under pressure, design the metrics and reporting a board actually needs, and reason about where enterprise AI governance is heading.
For: Board members, CEOs, CFOs, chief risk and compliance officers, Chief AI and data officers, and senior public-sector and bank executives accountable for AI to a board, a regulator or the public.
AI Ethics for Executives is a six-week, board-facing programme for the people who carry ultimate accountability for how an organisation uses artificial intelligence. It is not a technical course. It is about the decisions only leaders can make — what the organisation will and will not do with AI, who answers when it goes wrong, and how ethical posture becomes a source of trust rather than a source of risk.
Set firmly in the Nigerian context — the NDPA 2023, a watching NDPC, NITDA’s national direction, and sector regulators such as the CBN — the programme connects ethics to the things a board already understands: reputation, strategy, liability, and shareholder value. By the end you will be able to set the ethical tone, ask the questions that expose weak governance, and hold management to account on AI.
For: Board members, chief executives, executive directors, and senior leaders who sponsor, approve or answer for AI — not the engineers who build it.