AI Incident Response & Crisis Management is an advanced, six-week professional course for the people who get the call when an AI system goes wrong. It teaches you to recognise an AI incident, classify its severity, contain the damage, manage the harmful outputs and security breaches that follow, meet the Nigeria Data Protection Act’s notification duties to the NDPC, and lead an organisation through the communication and recovery that decide whether it keeps its customers and its licence. The course assumes you already understand basic AI governance; it is about what you do when governance has failed and the clock is running.
For: Incident managers, security and SOC leads, risk and compliance officers, data protection officers, AI/ML operations engineers, and the executives who will chair the crisis room when a model misbehaves in production.
AI Regulatory Compliance & Readiness is a six-week, advanced course for practitioners who must keep an organisation’s artificial-intelligence systems on the right side of the law and ready for scrutiny. It moves from the principles behind AI regulation, through the EU AI Act and the global patchwork of AI laws, into privacy and data protection under the Nigeria Data Protection Act 2023 and the GDPR, then into the concrete obligations that attach to high-risk AI, the documentation and audit trail that proves compliance, the monitoring and reporting duties that continue after launch, and finally what happens when a regulator comes knocking.
By the end you will be able to explain why AI is regulated and how the major regimes are built, classify a system under the EU AI Act’s risk tiers and identify its obligations, reconcile AI governance with the NDPA and GDPR, assemble the technical documentation a regulator expects, run post-market monitoring and meet reporting duties, respond competently to an investigation, and design an enterprise compliance-readiness programme that holds up under the NDPC, the CBN, NAFDAC or the NCC.
For: Compliance officers, data protection officers, regulatory and legal professionals, risk managers, AI and product leaders, internal auditors, and public-sector oversight staff in Nigerian organisations preparing for AI regulation and regulator scrutiny.
AI Red Teaming & Assurance is an advanced, six-week professional programme for practitioners who must probe AI systems for weakness before someone hostile does. It teaches authorised, structured adversarial testing of AI — threat modelling, prompt-injection and jailbreak testing, robustness and safety evaluation, governance assurance, and the running of an enterprise red-team programme — grounded in the realities of deploying AI in Nigerian organisations under the Nigeria Data Protection Act 2023 and a watching NDPC.
This is dual-use security education for defenders. Everything here is framed for authorised assurance work: testing systems you are permitted to test, under written scope, to make them safer. By the end you will be able to plan and run a responsible AI red-team engagement, evidence the findings, and feed them into a governance system that an auditor and a regulator will accept.
For: Security engineers, AI assurance and risk leads, internal auditors, ML engineers moving into safety, and governance professionals responsible for high-impact AI in banking, health, telecoms and the public sector.
AI Vendor Risk Management is an advanced, six-week programme for practitioners who govern the AI their organisation buys rather than builds. Most Nigerian enterprises consume AI through foreign cloud platforms, scoring APIs, embedded vendor features and resold models — and the risk does not transfer with the supplier. This course turns that uncomfortable fact into a working discipline: how to assess a vendor before signing, what to demand in the contract, how to govern cloud and API dependencies, how to monitor a relationship you do not control, and how to run all of it as a programme an auditor and the NDPC can verify.
It assumes you already understand AI governance fundamentals and ISO/IEC 42001 at a high level. It builds the third-party layer on top: due diligence, procurement, contract terms, cloud and API governance, ongoing assurance, and enterprise programme design, anchored in the Nigeria Data Protection Act 2023 and the expectations of the NDPC, NITDA, the CBN and sector regulators.
For: Vendor-risk and procurement leads, third-party risk managers, compliance and DPO functions, internal auditors, CISOs and AI governance owners in banks, fintechs, telcos, hospitals, public agencies and any organisation whose AI capability is largely purchased.
ISO/IEC 42001 Lead Implementer is the Institute’s flagship professional certification: a six-week, practitioner-grade programme that takes you from understanding the standard to running an enterprise-wide implementation. You will learn to lead the full lifecycle — readiness and gap assessment, governance structures, the operating model, risk and responsible-AI controls, internal audit, and the road to external certification — in the Nigerian context of the NDPA 2023, a watching NDPC, and sector regulators such as the CBN, NAFDAC and NCC.
This is not an awareness course. It assumes you will be accountable for delivery, and it equips you to build a defensible Artificial Intelligence Management System (AIMS), sequence the work, and bring an organisation to certification readiness without surprises.
For: AI governance leads, compliance and risk executives, Chief AI Officers, internal audit leaders, enterprise architects and ISO implementation professionals charged with standing up and certifying an AIMS.
ISO/IEC 42001 Internal Auditor is an advanced, six-week professional course that trains you to plan and conduct internal audits of an Artificial Intelligence Management System (AIMS). Grounded in ISO/IEC 42001 and the auditing discipline of ISO 19011, it takes you from audit principles through planning, evidence collection and control testing to writing nonconformities, driving corrective action, and running a full simulated AI governance audit in a Nigerian organisation.
The course localises every technique to the Nigerian setting — the Nigeria Data Protection Act 2023, the NDPC, NITDA and sector regulators such as the CBN, NAFDAC and NCC — while keeping the ISO 42001 and ISO 19011 audit facts accurate. By the end you will be able to audit an AIMS independently, defensibly, and in a way an external certification body would recognise.
For: Internal auditors, compliance officers, risk managers, AI governance and ISO professionals, cybersecurity auditors, and public-sector oversight teams preparing to audit AI governance or to support certification.
AI Auditing & Compliance is a six-week, advanced course for practitioners who must give an organisation’s board, its regulator and its customers credible assurance that its artificial-intelligence systems are lawful, governed and trustworthy. It teaches the working craft of the AI auditor: scoping an engagement, gathering evidence that holds up, testing controls rather than reading about them, mapping obligations under the EU AI Act, GDPR and the Nigeria Data Protection Act 2023, reviewing responsible-AI and vendor governance, investigating incidents, and bringing an organisation to audit readiness.
By the end you will be able to plan and run an AI governance audit, collect and weigh evidence, test responsible-AI and lifecycle controls, assess compliance against the major frameworks as they apply in Nigeria, investigate a governance failure to its root cause, and operate an enterprise AI assurance programme.
For: Internal auditors, compliance officers, risk managers, cybersecurity auditors, responsible-AI teams, legal and regulatory professionals, public-sector oversight bodies and enterprise governance leaders preparing for regulator scrutiny and AI assurance work.