Diploma in AI Governance

Globally recognised. Boardroom ready.

Govern AI with confidence. Lead where it matters most. Become a certified AI governance professional. Gain the board-level AI literacy, practical frameworks and strategic confidence to oversee AI responsibly. Embrace the rapid pace of change, and turn AI governance into a source of trust, resilience and competitive advantage.

This diploma is offered through our partner:

The Corporate Governance Institute birkbeck-university-of-london
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Contact hours

10 weeks

Access for

6 months

Format

Live online

Total Fees

$5,750

Members discount (10% off)

$5,175.00

Buy now →

Why take the Diploma in AI Governance?

AI is now a core issue in strategy, risk, compliance, ethics and governance, and it belongs firmly on the board agenda. Most organisations are already using AI – often faster than their governance structures can keep up. The result is a widening accountability gap, where AI systems are adopted, bought, embedded and scaled before leaders have clear oversight of them. This diploma closes that gap, giving senior leaders a boardroom-ready understanding of how to govern AI across strategy, regulation, risk, ethics, data, assurance and accountability.

You will benefit by

  • Building AI literacy for directors, with no technical background required
  • Strengthening board oversight of AI across the full AI lifecycle
  • Understanding the global AI regulatory landscape, including the EU AI Act and wider compliance obligations
  • Learning how to identify, escalate and govern AI risks before they become legal, operational, reputational or cyber failures
  • Applying responsible and ethical AI principles to real board decisions
  • Using practical templates, challenge questions, oversight frameworks and risk checklists from day one
  • Earning a respected AI governance qualification that signals practical readiness to govern AI at senior levels

Trusted by professionals from leading organisations

Join a global network of certified professionals from industry-leading organisations

Who is it for

Who is this AI governance diploma for?

This diploma is designed for senior leaders who need to govern AI with confidence, not code it. It is practical executive education for the people responsible for oversight, accountability, decision-making and organisational trust.

Board and non-executive directors

For directors, board members, chairs and NEDs who need to ask better questions, challenge management and oversee AI strategy, risk and accountability.

Governance professionals and company secretaries

For governance teams supporting board AI oversight, committee structures, reporting, agenda planning and director AI training.

Risk, audit and assurance leaders

For CROs, internal audit leaders and assurance professionals who need practical AI risk governance, oversight and audit capability.

Legal and regulatory leaders

For General Counsel, CLOs and compliance leaders navigating AI regulation, EU AI Act requirements and AI governance compliance.

C-suite and senior executives

For executives who must drive adoption, manage enterprise-wide risk, approve investment and connect AI strategy to governance and performance.

Programme Content

Learn more about the Diploma in AI Governance

Ten practical modules that take you from AI literacy through regulation, risk, data, assurance and board decision-making – ending with a capstone that turns everything you have learned into a 12-month board AI governance agenda.

Module 1

AI literacy and foundations for directors

Module 2

AI strategy, value creation and the board

Module 3

Responsible AI, trust, ethics and board oversight

Module 4

The global AI governance and regulatory landscape

Module 5

AI risks, harms and board accountability

Module 6

Data governance, privacy and AI

Module 7

Designing effective AI governance

Module 8

Board oversight, assurance and control of AI

Module 9

AI governance, judgement and decision-making

Module 10

Sector applications and the future of AI governance
AI literacy and foundations for directors

AI is already operating in your organisation, whether you know it or not. This module gives you the literacy to ask the right questions, challenge management with confidence and fulfil your oversight duties. No technical background required.

  • Understand what AI, generative AI and agentic AI are in plain language.
  • Identify the types of AI most likely operating in your organisation right now, including shadow AI.
  • Recognise where board oversight is needed across the AI lifecycle.
  • Understand EU AI Act Article 4 and why AI literacy is an essential compliance obligation.
  • Build the language and confidence to engage in AI strategy, risk and governance discussions.
AI strategy, value creation and the board

Boards that only see AI as a risk can miss the strategic opportunity. This module helps you govern AI as a value driver, not just a compliance obligation.

  • Evaluate AI investment proposals without needing to be a technologist.
  • Challenge management on AI value creation, ROI and transformation risk.
  • Understand the governance implications of build, buy or partner decisions.
  • Connect AI strategy, governance, execution and performance.
  • Use a practical framework for board-level AI investment decisions.
Responsible AI, trust, ethics and board oversight

Good governance has always been grounded in values, and AI is no different. This module establishes the ethical foundation for every AI decision your organisation makes.

  • Understand the international principles shaping responsible AI.
  • Question management on fairness, bias, transparency and explainability.
  • Recognise meaningful human oversight as a genuine governance responsibility.
  • Connect responsible AI reporting with stakeholder trust, ESG and emerging disclosure expectations.
  • Apply an AI accountability framework when AI proposals land on the board agenda.
The global AI governance and regulatory landscape

AI regulation is moving fast, and boards that cannot read the landscape are already exposed. This module gives you the practical fluency to oversee compliance and ask the right questions before a regulator does.

  • Understand the EU AI Act, GDPR, NIS2 and DORA obligations from a board perspective.
  • Compare UK, US, OECD and GCC approaches to AI regulation.
  • Map your organisation's AI regulatory exposure across jurisdictions.
  • Understand what ISO 42001 certification does and does not evidence.
  • Leave with a jurisdiction mapping tool and practical regulatory challenge questions for management.
AI risks, harms and board accountability

AI risk is personal. Directors need to understand what could go wrong, who is accountable, what controls are in place and when issues must be escalated to the board.

  • Identify the five categories of AI risk every board should understand: operational, legal, strategic, reputational and cyber.
  • Understand AI bias, hallucinations and model failure at the governance level.
  • Recognise cyber-AI threats, including deepfakes, data poisoning and prompt injection.
  • Assess third-party AI risk and the hidden governance exposure in tools you buy.
  • Apply an AI risk oversight framework to risk appetite, controls and escalation.
Data governance, privacy and AI

AI is only as good as the data behind it. Understanding what data your organisation uses, whether it is lawful and who owns it is a board-level responsibility.

  • Ask the right questions about data quality, integrity, ownership and stewardship.
  • Understand privacy obligations when AI systems make decisions about people.
  • Recognise warning signs in data governance that require board-level attention.
  • Evaluate IP, copyright and AI-generated content risks at a senior level.
  • Understand cross-border data flows, sovereignty and regional compliance exposure.
Designing effective AI governance

Most organisations are buying AI faster than they are governing it. This module gives you the tools to evaluate governance architecture and spot the gaps before a regulator, investor or customer does.

  • Design AI governance architecture, committee models and accountability structures.
  • Apply the three lines of defence to AI governance.
  • Use governance maturity models to assess where your organisation stands today.
  • Strengthen vendor due diligence before approving AI partnerships.
  • Design controls for agentic AI, including spend controls and human approval checkpoints.
Board oversight, assurance and control of AI

Governance structures mean nothing without effective oversight. This module builds your ability to evaluate whether AI governance is actually working.

  • Understand AI assurance frameworks, model validation and control expectations.
  • Recognise red flags in management AI reporting.
  • Know what the board must do in the first 48 hours of an AI failure becoming public.
  • Set the right AI risk indicators and governance metrics for audit and finance committees.
  • Leave with an AI incident response protocol and assurance questions for your next audit committee agenda.
AI governance, judgement and decision-making

Governing AI well requires more than knowledge. It demands judgement, confidence and the ability to lead under pressure – including when board members use AI tools themselves.

  • Define decision rights for AI: what comes to the board and what can be delegated.
  • Develop a boardroom AI policy for directors' own use of AI tools.
  • Understand the productivity gains and confidentiality risks of AI in board work.
  • Manage automation bias and AI-generated board papers, summaries and recommendations.
  • Use a Board AI Maturity Matrix to assess board readiness.
Sector applications and the future of AI governance

Knowledge without application is not governance. This capstone module puts everything into practice through sector scenarios, a crisis simulation and a 12-month board AI governance agenda.

  • Apply AI governance across financial services, healthcare, public sector, professional services and other sectors.
  • Respond to an AI failure notification in a live boardroom crisis simulation.
  • Anticipate the governance challenges of agentic AI and frontier AI.
  • Develop a 12-month Board AI Governance Agenda tailored to your organisation.
  • Leave ready to lead on AI governance from your very next board meeting.
Module 1

AI is already operating in your organisation, whether you know it or not. This module gives you the literacy to ask the right questions, challenge management with confidence and fulfil your oversight duties. No technical background required.

  • Understand what AI, generative AI and agentic AI are in plain language.
  • Identify the types of AI most likely operating in your organisation right now, including shadow AI.
  • Recognise where board oversight is needed across the AI lifecycle.
  • Understand EU AI Act Article 4 and why AI literacy is an essential compliance obligation.
  • Build the language and confidence to engage in AI strategy, risk and governance discussions.
Module 2

Boards that only see AI as a risk can miss the strategic opportunity. This module helps you govern AI as a value driver, not just a compliance obligation.

  • Evaluate AI investment proposals without needing to be a technologist.
  • Challenge management on AI value creation, ROI and transformation risk.
  • Understand the governance implications of build, buy or partner decisions.
  • Connect AI strategy, governance, execution and performance.
  • Use a practical framework for board-level AI investment decisions.
Module 3

Good governance has always been grounded in values, and AI is no different. This module establishes the ethical foundation for every AI decision your organisation makes.

  • Understand the international principles shaping responsible AI.
  • Question management on fairness, bias, transparency and explainability.
  • Recognise meaningful human oversight as a genuine governance responsibility.
  • Connect responsible AI reporting with stakeholder trust, ESG and emerging disclosure expectations.
  • Apply an AI accountability framework when AI proposals land on the board agenda.
Module 4

AI regulation is moving fast, and boards that cannot read the landscape are already exposed. This module gives you the practical fluency to oversee compliance and ask the right questions before a regulator does.

  • Understand the EU AI Act, GDPR, NIS2 and DORA obligations from a board perspective.
  • Compare UK, US, OECD and GCC approaches to AI regulation.
  • Map your organisation's AI regulatory exposure across jurisdictions.
  • Understand what ISO 42001 certification does and does not evidence.
  • Leave with a jurisdiction mapping tool and practical regulatory challenge questions for management.
Module 5

AI risk is personal. Directors need to understand what could go wrong, who is accountable, what controls are in place and when issues must be escalated to the board.

  • Identify the five categories of AI risk every board should understand: operational, legal, strategic, reputational and cyber.
  • Understand AI bias, hallucinations and model failure at the governance level.
  • Recognise cyber-AI threats, including deepfakes, data poisoning and prompt injection.
  • Assess third-party AI risk and the hidden governance exposure in tools you buy.
  • Apply an AI risk oversight framework to risk appetite, controls and escalation.
Module 6

AI is only as good as the data behind it. Understanding what data your organisation uses, whether it is lawful and who owns it is a board-level responsibility.

  • Ask the right questions about data quality, integrity, ownership and stewardship.
  • Understand privacy obligations when AI systems make decisions about people.
  • Recognise warning signs in data governance that require board-level attention.
  • Evaluate IP, copyright and AI-generated content risks at a senior level.
  • Understand cross-border data flows, sovereignty and regional compliance exposure.
Module 7

Most organisations are buying AI faster than they are governing it. This module gives you the tools to evaluate governance architecture and spot the gaps before a regulator, investor or customer does.

  • Design AI governance architecture, committee models and accountability structures.
  • Apply the three lines of defence to AI governance.
  • Use governance maturity models to assess where your organisation stands today.
  • Strengthen vendor due diligence before approving AI partnerships.
  • Design controls for agentic AI, including spend controls and human approval checkpoints.
Module 8

Governance structures mean nothing without effective oversight. This module builds your ability to evaluate whether AI governance is actually working.

  • Understand AI assurance frameworks, model validation and control expectations.
  • Recognise red flags in management AI reporting.
  • Know what the board must do in the first 48 hours of an AI failure becoming public.
  • Set the right AI risk indicators and governance metrics for audit and finance committees.
  • Leave with an AI incident response protocol and assurance questions for your next audit committee agenda.
Module 9

Governing AI well requires more than knowledge. It demands judgement, confidence and the ability to lead under pressure – including when board members use AI tools themselves.

  • Define decision rights for AI: what comes to the board and what can be delegated.
  • Develop a boardroom AI policy for directors' own use of AI tools.
  • Understand the productivity gains and confidentiality risks of AI in board work.
  • Manage automation bias and AI-generated board papers, summaries and recommendations.
  • Use a Board AI Maturity Matrix to assess board readiness.
Module 10

Knowledge without application is not governance. This capstone module puts everything into practice through sector scenarios, a crisis simulation and a 12-month board AI governance agenda.

  • Apply AI governance across financial services, healthcare, public sector, professional services and other sectors.
  • Respond to an AI failure notification in a live boardroom crisis simulation.
  • Anticipate the governance challenges of agentic AI and frontier AI.
  • Develop a 12-month Board AI Governance Agenda tailored to your organisation.
  • Leave ready to lead on AI governance from your very next board meeting.
  • Live online sessions
    Ten 3-hour online sessions taught by AI governance practitioners, AI professionals and sitting board directors.
  • Real-world case studies
    Every module is grounded in actual AI governance cases, enforcement actions, boardroom failures and governance decisions.
  • Peer discussions
    Learn alongside a cohort of directors, executives, governance professionals and risk leaders facing similar decisions across sectors.
  • Tools and frameworks you keep
    Walk away with templates, oversight frameworks, AI risk checklists, decision-rights frameworks, governance agendas and practical board questions.
  • Knowledge checks
    Test your understanding with scenario-based questions that mirror real board decisions, not tick-box exercises.
  • Two graded assessments
    Complete your qualification by applying your learning to practical governance scenarios.
  • Self-study resources
    Curated reading, case materials and governance resources help you go deeper on the topics most relevant to your role and sector.
Designed for time-poor senior leaders

Live expert sessions combined with real-world case studies, peer challenge, practical tools and scenario-based assessment.

Immediate boardroom application

Everything you learn is designed to be used immediately in board, executive, risk, compliance and assurance conversations.

Practical AI governance focus

The programme keeps you at governance altitude: oversight, accountability, assurance, risk, ethics and board decision-making.

Peer challenge and discussion

Work with leaders facing similar AI governance decisions across different sectors and jurisdictions.

Tools you can keep using

Use templates, checklists, questions, frameworks and agendas designed for practical board-level AI oversight.

Explain AI with confidence

Explain AI, generative AI and agentic AI clearly enough to lead an informed boardroom discussion.

Ask sharper management questions

Ask sharper questions of management on AI strategy, investment, ROI, ownership, risk and accountability.

Oversee AI governance compliance

Oversee AI governance compliance across major regulatory frameworks, including the EU AI Act and wider global AI regulation.

Evaluate AI risk governance

Evaluate AI risk governance, escalation processes, assurance reporting and crisis response readiness.

Apply responsible AI governance

Apply responsible AI governance and ethical AI governance principles to real strategic decisions.

Clarify accountability

Use an AI accountability framework to clarify roles, decision rights and escalation routes.

Strengthen third-party controls

Strengthen vendor due diligence, data governance, privacy oversight and third-party AI risk controls.

Assess board AI maturity

Assess board AI governance maturity and identify where capability, committee structures or reporting need to improve.

Build a 12-month agenda

Develop a practical 12-month Board AI Governance Agenda for your organisation or board.

Demonstrate senior-level readiness

Demonstrate the confidence, judgement and vocabulary expected from a certified AI governance professional.

Frequently asked questions

Browse these questions and answers to help your research

It is a live online programme for senior leaders who need to govern AI responsibly at board and executive level. You will build board-level AI literacy, understand AI strategy and risk, oversee your organisation's regulatory exposure, and apply practical frameworks for responsible AI governance, assurance and accountability.

The diploma is designed for board members, chairs, non-executive directors, governance professionals, company secretaries, legal and regulatory leaders, CROs, internal audit leaders and senior executives responsible for AI adoption, assurance, risk or compliance. It is best suited to those who oversee AI, rather than those who build it.

No. This is AI governance training for leaders who govern AI, not build it, and no technical background is required. The programme keeps you at board and executive level, helping you ask better questions, understand risk, oversee accountability and make stronger governance decisions.

The diploma covers 10 modules: AI literacy and foundations for directors; AI strategy, value creation and the board; responsible AI, trust, ethics and board oversight; the global AI governance and regulatory landscape; AI risks, harms and board accountability; data governance, privacy and AI; designing effective AI governance; board oversight, assurance and control of AI; AI governance, judgement and decision-making; and sector applications and the future of AI governance.

Yes. The regulatory module covers the EU AI Act alongside GDPR, NIS2, DORA and the UK, US, OECD and other global AI governance frameworks. It is designed to help senior leaders understand their regulatory exposure and oversee AI governance compliance.

The diploma is broader than a standalone EU AI Act certification. It covers the EU AI Act as part of a wider AI governance qualification that also addresses strategy, risk, ethics, data governance, assurance, board decision-making and sector application.

Yes. The programme covers AI risk governance and oversight, third-party AI risk, operational, legal, cyber and reputational risk, assurance reporting, internal audit expectations and model validation. It also addresses responsible and ethical AI governance, human oversight, fairness, transparency, explainability and stakeholder trust.

The diploma is delivered live online over 10 weeks. You attend ten weekly 3-hour sessions with expert faculty, supported by real-world case studies, peer discussion, practical frameworks, resources, knowledge checks and online assessments.

The programme is designed for senior leaders with demanding schedules. Course sessions, materials and resources are available for six months from the start of the programme, so you can revisit content during and after the live teaching period.

Allocate 30 contact hours for the live sessions, plus time for supplementary reading, study and the two graded online assessments. Additional study time depends on your experience, your sector and how deeply you want to apply the tools to your own organisation.

You will leave with board-ready templates and frameworks, including AI oversight questions, an AI risk oversight framework, a jurisdiction mapping tool, vendor due diligence prompts, a decision-rights framework, a boardroom AI policy, a Board AI Maturity Matrix, an AI incident response protocol and a 12-month Board AI Governance Agenda.

There are two graded online assessments that apply your learning to real governance scenarios. They are designed to test board-level judgement, risk awareness and practical AI governance decision-making.

On successful completion you receive the Diploma in AI Governance and can use the post nominals DipAIGov on your digital signature and LinkedIn profile.

The next intake commences on Tuesday, 6th October 2026. Sessions run every Tuesday evening from 18:00 to 21:00 GMT.

Yes. Many organisations sponsor senior leaders because it strengthens board oversight, regulatory readiness, risk oversight and confidence at board and executive level. A programme advisor can help you present the case for sponsorship to your employer.