All 49 AI Campus courses in one place — from AI Foundations at ₦20,000 to the Chief AI Governance Officer Programme. Pick a course, pay securely with Paystack, and you're in.
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Foundation + sector courses for students, NYSC corps members, and working professionals. Start here.
Plain-language introduction to AI for learners with no technical background — what AI is, how it is used across Nigerian banking, health, agriculture, and government.
Hands-on mastery of ChatGPT, Claude, Gemini, and the AI tools already at work — prompts, workflows, and the privacy questions to ask.
Six-week strategy course for executives, founders, and managers — vendor evaluation, AI strategy, governance, talent, and measuring ROI.
The responsible-AI deep dive — where AI causes harm, what the NDPA 2023 requires, and how to build governance into an organisation.
Technical course for engineers — foundation-model APIs, RAG, agents, fine-tuning, and the discipline that separates demos from production systems.
For clinicians, administrators, and public-health professionals — clinical AI evidence, NAFDAC and NDPC expectations, responsible deployment.
For teachers, lecturers, and administrators — lesson design with AI, responsible AI tutoring, assessment redesign, and AI literacy from JSS1 up.
For civil servants and policy advisors — AI in Nigerian MDAs, citizen-facing AI under the NDPA, procurement, and the National AI Strategy.
ADBOK-aligned course on AI in African agriculture — real deployments across Nigerian, Kenyan, and pan-African agritech.
AI in African financial services — credit decisioning, fraud and AML, RegTech, and AI risk governance under CBN and NDPA.
AI in African energy and infrastructure — grid management, mini-grids, climate risk, and governance under the Electricity Act 2023.
AI in African creative industries — Nollywood production, Afrobeats, journalism, advertising, and rights for African creators.
Entry point into AI governance: the standards, the frameworks, the vocabulary.
The world's first AI Management System standard — what it requires, why, and what it takes to stand one up in a Nigerian organisation.
What AI governance is and why you need it before AI scales — lifecycle, risk registers, responsible-AI principles, global frameworks.
Govern, Map, Measure, Manage — the NIST AI RMF taught for the Nigerian context, alongside ISO/IEC 42001 and the NDPA.
From principles to practice: policy writing, risk management, responsible implementation.
Write the policies that actually govern AI — acceptable use, generative-AI controls, vendor governance, incident response. Leave with a template library.
Run AI risk assessments, build risk registers, write defensible impact assessments, and stand up monitoring — anchored to NIST and ISO/IEC 42001.
Close the gap between a Responsible AI slide and a system that is fair, explainable, overseen, and auditable under the NDPA 2023.
Practitioner-grade programmes: auditing, red teaming, incident response, ISO/IEC 42001 delivery.
The working craft of the AI auditor — scoping engagements, testing controls, EU AI Act / GDPR / NDPA mapping, audit readiness.
Plan and conduct internal audits of an AI Management System — ISO 19011 discipline, nonconformities, a full simulated audit.
The Institute's flagship professional certification — lead a full enterprise AIMS implementation to certification readiness.
Govern the AI your organisation buys — due diligence, contract terms, cloud and API governance, ongoing assurance the NDPC can verify.
Authorised adversarial testing of AI systems — threat modelling, prompt-injection testing, robustness evaluation, enterprise red-team programmes.
Keep AI on the right side of the law — EU AI Act risk tiers, NDPA and GDPR, technical documentation, and surviving an investigation.
For the people who get the call when AI goes wrong — classification, containment, NDPC notification duties, crisis communication.
Board-facing leadership programmes for the people accountable for AI at the top.
Board-facing programme on the decisions only leaders can make — ethical posture, accountability, and trust as strategy.
For directors and C-suite — operating models, board oversight, and sequencing a multi-year governance transformation.
Give the board and the regulator evidence-backed confidence — assurance functions, AI audits, governance metrics.
The executive flagship — own AI governance at the most senior level: strategy, regulatory posture, crisis leadership.
Sector-specific governance: one industry, six weeks, governed properly.
Hands-on assurance of chatbots and copilots — hallucination detection, jailbreak testing, evaluation suites, live monitoring.
Adapt the international toolkit to emerging-market reality — thin connectivity, young regulators, the AU Continental AI Strategy.
Govern AI that moves people and goods — ISO 26262, SOTIF, UL 4600, and the EU AI Act high-risk regime on Nigerian roads.
AI in the most safety-critical sector — flight operations, air traffic, predictive maintenance, NCAA / NAMA / FAAN context.
Governance inside the Nigerian state — national policy, procurement, public trust, and an audit-and-assurance capstone.
Where the stakes are a patient's body — triage and diagnostic AI, NAFDAC and MDCN duties, clinical impact assessment.
Model risk discipline for banks and fintechs — credit and fraud models, CBN examination readiness, vendor accountability.
For university leaders — academic integrity policy, student data, research use of AI, NUC expectations.
Responsible governance where decisions touch sovereignty and life — human oversight, assurance, international humanitarian law.
For technical practitioners — failure modes, safety control stacks, adversarial testing, and measured safety in production.
Govern the algorithms running urban life — traffic, surveillance, service portals, vendor accountability, public trust.
Underwriting, pricing, claims, and fraud models governed lawfully — NAICOM and NDPC expectations with auditable records.
Bring network AI under control — routing, credit scoring, SIM fraud models, NCC licence conditions, subscriber fairness.
Industrial AI governed on the factory floor — smart factories, robots, OT security, SON and NITDA context.
Govern AI in the systems a nation cannot afford to fail — power, water, ports, telecoms, ONSA and NCII regime.
AI across generation, transmission, and retail — grid optimisation, predictive maintenance, NERC and NDPC oversight.
Govern the algorithms behind hiring, promotion, and monitoring — bias assessment, Labour Act, tribunal-ready records.
Facial recognition, predictive policing, watch-lists — oversight that holds up in court and before the public.
AI in aid and development programming — donor accountability, impact assessment, SDG alignment, vulnerable populations.
Govern the GenAI wave — hallucination, prompt data leaks, synthetic content, copyright exposure, enterprise controls.
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