AI Campus — Intelliscan Standards Institute

The Certified Annotation Professional (CAP) is IntelliScan's practitioner-level credential for people who execute complex, multi-modal annotation work across text, image, audio and video.

CAP holders demonstrate mastery of ADBOK annotation workflow standards, inter-annotator agreement methodology, and disciplined edge-case handling.

• Exam: 100 multiple-choice questions, 120 minutes
• Pass mark: 72%
• Validity: 3 years
• Prerequisite: AAP, or demonstrated equivalent experience

Audience: senior annotators, annotation leads, and NLP and vision specialists.

Six-module course on AI in African creative industries — Nollywood production, Afrobeats and music, journalism, advertising, and rights and ethics for African creators.

Six-module course on AI in African financial services — credit decisioning, fraud and AML, RegTech, customer experience, and AI risk governance under CBN and NDPA.

AI for Government / Public Sector (AIG-101) is an applied course for Nigerian civil servants, policy advisors, parastatal staff, local government officers, and NGO leaders who decide on, deploy, or oversee AI in service of government work.

Across six modules, the course covers what AI is actually being used for in Nigerian MDAs and state governments; citizen-facing AI under the NDPA and NAIS; AI for the internal civil-service workforce; procurement and vendor management; implementing the National AI Strategy at agency level; and governance, transparency, and the longer view.

Prerequisite: AI Foundations (AIF-101) or equivalent.

Time commitment: ~12–15 hours across six modules.

AI for Healthcare is a six-week sector course for Nigerian clinicians, hospital administrators, public-health practitioners, regulators, and healthcare policy professionals who need to engage with AI seriously in 2026. The course assumes you understand what AI is at a conceptual level (AI Foundations) and takes you from there into the clinical and public-health questions actually on the table: where AI is genuinely working in care delivery, where it is over-promised, what NAFDAC and the NDPC expect of AI-enabled medical devices and data flows, how to evaluate evidence for clinical AI, and how to build responsible AI practice into a Nigerian healthcare organisation. Every module is grounded in Nigerian clinical reality — public/private mix, NHIS, infrastructure variance across urban and rural settings, the doctor-patient ratios, and the realistic constraints of frontline care. You will leave this course able to read a clinical AI claim and tell signal from noise, advise your organisation on responsible deployment, and engage credibly with patients, regulators, and journalists.

Prerequisites: AI Foundations (AIF-101) or equivalent conceptual understanding. The course does not assume programming skill, but does assume clinical or public-health domain familiarity at a working level.

AI Ethics, Risk and Governance is a six-week deep-dive into the responsible AI questions every Nigerian organisation, regulator and citizen now has to engage with. Building on AI Foundations, it covers where AI causes harm, what the Nigeria Data Protection Act 2023 actually requires, what the National AI Strategy commits the country to, how to assess and audit AI risk, and how to build responsible AI practice into an organisation. Every module is grounded in Nigerian law, Nigerian cases, and Nigerian institutional reality, with international context where useful.

Prerequisite: AI Foundations (AIF-101) or equivalent conceptual understanding.

For: Compliance officers, legal counsel, data protection officers, risk managers, policy professionals, civil-society advocates, regulators, journalists, and citizens.

By the end of this course you will be able to:

• Identify and classify the ethical and legal risks of an AI deployment in any sector.
• Apply the Nigeria Data Protection Act 2023 to AI use cases with confidence.
• Explain Nigeria's National AI Strategy and its implications for regulated organisations.
• Design and conduct AI risk assessments and audits.
• Build a governance practice that handles AI incidents responsibly when they happen.

AI Tools for Work is a six-week, hands-on companion to AI Foundations. Where AI Foundations built your mental model of what AI is, this course makes you usefully fast with the tools that have already arrived at work — chatbots like ChatGPT, Claude and Gemini, image and audio generators, transcription, spreadsheet helpers, browsing agents, and the workflows that chain them together. Every module is built around tasks Nigerian professionals do every day, and shows you the prompts, the gotchas, and the privacy questions to ask before you commit. You will leave able to choose the right tool for a task, get good output from it the first time, and protect your data while you do.

Prerequisite: AI Foundations (AIF-101) or equivalent practical understanding of what AI is.

By the end of this course you will be able to:

• Identify the major AI tools relevant to your work and pick the right one for a given task.
• Write effective prompts that get good results on the first or second attempt.
• Use AI to dramatically speed up writing, research, analysis and creative work.
• Combine multiple AI tools into reliable personal workflows.
• Apply security and privacy practices that keep your organisation's data safe.

Week 6 is the final week of the Certified AI Campus Coordinator program — the week that makes the partnership sustainable and responsible. Six modules cover how the program self-funds through the 60/30/10 model, how an interest becomes a formal partnership through the MOU and working-group process, how to run the program under recognised AI-ethics and data-protection standards (UNESCO AI Ethics · NDPA 2023 / NDPC), and how to assemble the capstone — a complete, defensible rollout plan for your own institution. Passing the capstone earns the credential Certified AI Campus Coordinator. Framework base: the AI Fluency Framework (the 4 Ds, Anthropic); aligned to ADBOK · NUC CCMAS · UNESCO AI Ethics.

Week 5 of the Certified AI Campus Coordinator program. This is the week you stop being a student of AI and become the launch leader for your campus. Six modules move you from appointment to a running first cohort: owning single-point accountability, working the four-step 90-day pathway, anchoring the program at the EDC, winning stakeholder buy-in, driving an enrollment campaign, and tracking impact you can report. Each module has a narrative lesson, a worked Nigerian case study, a discussion forum and a knowledge check. Framework base: the AI Fluency Framework (the 4Ds, Anthropic); aligned to ADBOK · NUC CCMAS · UNESCO AI Ethics.

Week 3 of the Certified AI Campus Coordinator program turns outward — from your personal fluency to the product you will champion. Six modules give you complete command of the AI Campus offering: its philosophy, its four-year thread, its twelve courses, its six sector pathways, how students actually experience it through the portal, and how to answer any Dean, parent or student without hesitation. Each module has a narrative lesson, a worked Nigerian case study, a discussion forum and a knowledge check. Framework base: the AI Fluency Framework (the 4 Ds, Anthropic); aligned to ADBOK · NUC CCMAS · UNESCO AI Ethics.

NIST AI Risk Management Framework Fundamentals is a six-week, foundation-level introduction to the United States National Institute of Standards and Technology’s voluntary framework for managing the risks of artificial intelligence, taught for the Nigerian context. It covers why AI risk is genuinely different from ordinary IT risk, the four functions at the heart of the framework — Govern, Map, Measure and Manage — and how a Nigerian organisation can put the framework to work under the Nigeria Data Protection Act 2023 and a watching NDPC.

By the end you will be able to explain the framework in plain language, walk through each of its four functions, and operationalise it through profiles and risk scoring — including how it sits alongside ISO/IEC 42001 and the NDPA.

For: Compliance officers, risk managers, internal auditors, AI and IT leaders, data protection officers, and public-sector and university administrators who need a practical, structured way to govern AI.

Foundations of ISO/IEC 42001 is a six-week introduction to the world’s first Artificial Intelligence Management System (AIMS) standard, built for the Nigerian context. It covers what the standard requires, why each requirement exists, and what it actually takes to stand up an AIMS in a Nigerian organisation under the Nigeria Data Protection Act 2023 and a watching NDPC. By the end you will be able to read the standard with confidence, explain it to a board, and draft the foundational documents an AIMS needs.

For: Compliance officers, risk managers, internal auditors, AI/IT leaders, public-sector and university administrators preparing for certification or regulator scrutiny.

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 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 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.

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.

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.

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.

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.

AI Governance for Global Development Agencies is a six-week specialisation for the people who decide how artificial intelligence is used in aid, humanitarian response and development programming. It is built for the Nigerian and African operating reality: UN agencies, international NGOs and donor-funded programmes deploying AI in places with patchy connectivity, vulnerable populations and a watching regulator under the Nigeria Data Protection Act 2023. The course treats governance as a practical discipline, not a values statement — what to put in writing, who must own it, and how to prove it to a donor, a board or the NDPC.

By the end you will be able to design a governance system for AI in a development context, run an impact assessment that respects both ISO/IEC 42001 and the NDPA, hold programmes accountable to the people they serve, and align AI decisions with the Sustainable Development Goals rather than against them.

For: Programme directors, MEAL and data leads, country-office managers, donor and partnership officers, digital-development advisers, and governance, risk and protection staff in UN agencies, INGOs, foundations and government counterparts.

AI Governance for Human Resources is a six-week specialisation for the people who decide how AI touches the workforce. It moves past general principles into the specific decisions HR makes every day — who gets shortlisted, who gets promoted, who gets monitored, who gets let go — and shows how to govern the algorithms now sitting behind those decisions. The course is built for the Nigerian context: the Nigeria Data Protection Act 2023, a watching NDPC, the Labour Act, and the practical reality of recruiting, managing and developing people across Lagos, Abuja, Kano and beyond.

By the end you will be able to identify where AI already shapes HR decisions in your organisation, run a bias and impact assessment on a hiring or performance tool, govern employee monitoring lawfully, write the policies and records a regulator or tribunal would accept, and stand up a full HR AI governance programme.

For: HR directors and business partners, talent-acquisition leads, people-analytics teams, employment-law and compliance officers, data protection officers, and the executives accountable for how a workforce is treated.

AI Governance for Critical Infrastructure is a six-week specialisation for practitioners who govern artificial intelligence inside the systems a nation cannot afford to fail — the power grid, water utilities, ports and pipelines, telecommunications, and the agencies that respond when any of them break. It moves past general AI management to the harder question: how do you govern AI when an undetected fault is not a customer complaint but a blackout, a contaminated supply, or a stalled emergency response?

The course builds from foundations through national-scale risk, operational resilience, cybersecurity, public-safety governance, monitoring and assurance, and finishes with a capstone on national and enterprise resilience programmes. It localises to Nigeria throughout — the NDPA 2023, NITDA, the Office of the National Security Adviser (ONSA) and the National Critical Information Infrastructure regime — while keeping ISO/IEC, NIST and EU AI Act references accurate.

For: Risk and resilience leads, operational-technology and security managers, regulators and policy staff, and AI/IT leaders inside power, water, transport, telecoms and the public agencies that depend on them.

AI Governance for Telecommunications is a six-week specialisation for the people who govern AI inside Nigeria’s telecoms operators and their vendors. The industry runs on AI already — the model that decides where to route traffic, the engine that scores a subscriber for a loan, the system that flags a SIM for fraud, the algorithm that predicts which tower will fail next. Most of it was deployed by engineering and analytics teams with no governance question asked. This course shows how to bring that AI under control: lawfully, accountably, and in a way the NCC and the NDPC would accept as evidence.

The course is built for the Nigerian context — the Nigeria Data Protection Act 2023, a watching NDPC, the Nigerian Communications Commission and its licence conditions, and the operational reality of running networks at MTN, Airtel and Glo scale across Lagos, Abuja, Kano and the underserved rural fringe. International standards (ISO/IEC 42001, the NIST AI Risk Management Framework, the EU AI Act) are kept accurate; the application is localised to Nigerian telecoms.

For: Telecoms risk and compliance leads, network and data-science managers, regulatory-affairs officers, data protection officers, internal auditors, and the executives accountable for how a network treats its subscribers.

AI Governance for Smart Cities is a six-week specialisation for the people who build, buy and oversee the algorithms now running urban life — traffic systems, surveillance cameras, public-service portals, utility networks and the data platforms beneath them. It moves past glossy “smart-city” marketing into the hard questions: who is accountable when a model misdirects an ambulance, profiles a neighbourhood, or wrongly cuts off a citizen from a service. The course is built for the Nigerian context — the Nigeria Data Protection Act 2023, a watching NDPC, NITDA’s national direction, and the real smart-city and transport programmes already running in Lagos, Abuja and beyond.

By the end you will be able to map where AI already governs your city, run risk and impact assessments on urban AI infrastructure, govern public surveillance and transport systems lawfully, hold vendors and agencies accountable, build public trust through transparency, and set a credible smart-city AI governance strategy.

For: State and municipal officials, urban-planning and transport authorities, smart-city programme leads, public-sector data protection officers, civil-society and oversight bodies, and the vendors and consultants who deliver urban AI.

AI Governance for Defence & National Security is a specialisation-level, six-week programme for the people who must govern artificial intelligence in the most consequential setting of all — where decisions touch sovereignty, public safety and human life. It builds on management-system fundamentals and applies them to the Nigerian defence and national-security context: the Office of the National Security Adviser, the Nigerian Armed Forces, the intelligence community, and the agencies that protect critical national infrastructure, all operating under the Nigeria Data Protection Act 2023 and the oversight of the NDPC and NITDA.

The course is about responsible governance and human oversight, not operational tradecraft. It teaches how to assure, audit and hold accountable the AI a defence organisation builds or buys — consistent with international humanitarian law and recognised standards such as ISO/IEC 42001 and the NIST AI Risk Management Framework. By the end you will be able to design governance for high-stakes defence AI, demand meaningful human control, run defence-grade assurance and incident response, and contribute to national AI-security strategy.

For: Defence and security policy staff, military and intelligence officers in governance or oversight roles, ONSA and NITDA personnel, internal auditors, legal advisers on the law of armed conflict, and contractors supplying AI to the security sector.

AI Governance for Financial Services is a six-week specialisation for the people who decide how algorithms touch money, credit and trust in a regulated institution. It moves past general principles into the specific decisions a bank, fintech, insurer or asset manager makes every day — who gets a loan, which transaction is frozen, what a customer is charged, which account is flagged — and shows how to govern the models now sitting behind those decisions. The course is built for the Nigerian context: the Nigeria Data Protection Act 2023, a watching NDPC, the Central Bank of Nigeria, the NDIC, the SEC, and the practical reality of running a regulated financial business across Lagos, Abuja and Kano.

By the end you will be able to map where AI already drives financial decisions in your institution, apply model risk management discipline to those models, govern fraud and credit systems lawfully, run the assurance a supervisor would accept, hold your AI vendors accountable, and stand up a full financial AI governance programme that survives a CBN examination.

For: Chief risk officers, model risk and credit risk managers, heads of compliance and internal audit, fintech founders and product leads, data protection officers, and the executives accountable to the CBN, SEC and NDIC for how their institutions use AI.

AI Governance for Government & Public Sector is a six-week specialisation for the people who must answer for AI inside the Nigerian state. It moves from the foundations of why public-sector AI is a category of its own, through national policy and regulatory oversight, public trust and transparency, procurement and vendor governance, responsible operations and risk, and ends with an audit-and-assurance capstone. Throughout, it grounds international practice — the EU AI Act, the OECD AI Principles, ISO/IEC 42001 and the NIST AI Risk Management Framework — in Nigerian reality: the NDPA 2023, the NDPC, NITDA, the National AI Strategy, federal and state MDAs, and the Public Procurement Act.

By the end you will be able to design governance arrangements for a ministry, department or agency; scrutinise an AI procurement; assess and treat the risks of a public-facing system; and lead or commission an assurance review that a regulator or auditor-general would respect.

For: Civil servants, MDA directors and ICT leads, policy advisers, public-sector internal auditors and procurement officers, regulators, and oversight-body staff governing AI in Nigerian government.

AI Governance for Autonomous Vehicles is a six-week specialisation for practitioners who must govern AI that moves people and goods through real traffic. It treats the self-driving stack as a high-consequence, safety-critical system and asks the harder question certification slogans skip: when a machine decides whether to brake, swerve or proceed on a Nigerian road, who is accountable, what evidence exists, and how is that evidence kept honest over the system’s life? You will learn to govern autonomous and driver-assist systems across their lifecycle using ISO/IEC 42001 alongside the functional-safety and operational-safety standards (ISO 26262, ISO/PAS 21448 SOTIF, UL 4600), the NIST AI Risk Management Framework, and the EU AI Act’s high-risk regime, grounded in the Nigeria Data Protection Act 2023 and the realities of the FRSC, NITDA and the roads people actually drive.

For: transport and mobility risk managers, automotive and fleet safety engineers, AV programme leads, regulators and policy advisers, internal auditors and assurance specialists, and OEM or logistics compliance officers preparing autonomous and ADAS deployments for scrutiny.