Certified AI Governance Expert Foundation

CAIGE-F · A programme guide for prospective learners and their employers

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Privacy Pros Academy

Learn to find, assess and govern the AI an organisation runs, one practical artefact at a time.

First cohort starts Wednesday 28 October 2026

19 WEEKS · 6 PARTS · 19 MODULES · ONLINE WITH LIVE MENTORING

Certified AI Governance Expert Foundation (CAIGE-F)

Don't just learn AI governance.

Learn how to do the work, build the evidence and demonstrate your competence.

CAIGE-F trains experienced professionals to do the governance work itself, from the first inventory to the board paper.

The programme prepares you to find the AI an organisation runs, interrogate its technical evidence, recognise how it fails, assess and allocate its risk, classify it against regulation and present governance to a board.

What sets it apart is depth. Many courses teach vocabulary and regulation. CAIGE-F also teaches how systems are built, tested, monitored and fail.

Part Two alone is 203 lessons on the system lifecycle.

For employers, the reason is simple. Someone who cannot read the evidence behind a system cannot govern it.

A CAIGE-F graduate can ask a data science team the right questions and judge the answers.

Someone who cannot read the evidence behind a system cannot govern it.

Certified AI Governance Expert Foundation (CAIGE-F)

The programme at a glance

STRUCTURE
CAIGE-F · 2026

Nineteen weeks, one module released each week, built to fit around a working schedule.

19 weeks

One module released each week

6 parts

19 modules, 93 sub-modules

574

Video lessons: 567 teaching plus 7 assessment briefings

7–11 min

Length of each lesson

57–60 h

Taught hours in total

1 year

Support and live weekly mentoring labs

How you study

Lessons are online, self-paced weekly video.

Short lessons of 7 to 12 minutes to 12 fit into a working day.

Every Wednesday, live group mentoring brings the cohort together to discuss the week's work and the artefact in progress.

Who it is for

There are no formal prerequisites, but professional experience is assumed.

The course suits people from privacy, legal, risk, compliance, audit and technology roles who are taking on responsibility for AI.

Successful learners earn the CAIGE-F credential.

Certified AI Governance Expert Foundation (CAIGE-F)

Six parts, six questions a governance professional must answer

TABLE 1
THE SIX PARTS

Each module has three action-based objectives and produces one practical artefact.

Part

Question it answers

Weeks

Modules

Lessons

One. Understand What You Are Governing

What am I governing?

1–4

4

119

Two. Understand Where Governance Attaches

Where does governance attach?

5–8

4

203

Three. Understand What Goes Wrong

What goes wrong?

9–10

2

53

Four. Understand the Response

How do we respond?

11–14

4

83

Five. Understand the Rules

What are the rules?

15–18

4

91

Six. Do the Job

How do I build and run this?

19

1

18

Why the parts follow this order

The sequence mirrors the real job. You first learn what AI is and where it sits in your organisation.

You then follow a system through its lifecycle, study how it fails, and build the response: risk assessment, assurance and vendor review.

Regulation comes after you understand the systems it applies to, so you can classify real cases rather than memorise rules.

The final week brings everything together into a governance programme you can run.

Certified AI Governance Expert Foundation (CAIGE-F)

You learn by doing the job

ASSESSMENT
CAIGE-F · 2026

Applied assessment is the heart of the programme. Knowledge checks confirm the learning; the artefacts and applied assessments prove you can do the work.

THE CORE

6 + 1 · about 19.5 hours

Applied assessments and capstone

Six extended applied assessments and a capstone, where you apply each part to realistic governance work. These are the tasks a governance lead faces in practice, not recall exercises.

19 artefacts

Weekly artefacts, ready to use at work

Every module produces a practical artefact, from an AI inventory to a classification memo and a board paper. You finish the course with a working governance file.

Knowledge checks

19

Module quizzes, checking understanding week by week

6

Examinations, one closing each part

409

Questions in total across quizzes and examinations

This is what sets CAIGE-F apart: graduates show their competence through work products an employer can read, not only through a test score.

Certified AI Governance Expert Foundation (CAIGE-F)

Part One:
Understand what you are governing

WEEKS 1–4
4 MODULES · 119 LESSONS

Part One builds the foundation: what the job involves, how AI works and where your organisation already uses it.

The AI Governance Job · 14 lessons

What the role involves day to day and what your background already covers. Map the AI value chain: builder, supplier, deployer and affected party. Build a first-pass AI inventory, including unapproved systems.

Artefact: AI system inventory

AI Foundations · 30 lessons

Explain how AI learns to non-technical colleagues, and use core vocabulary with confidence, including the difference between training and inference.

Models, Algorithms and the Stack · 41 lessons

Tell model types apart, understand algorithm families and deep learning at governance level, and see where obligations attach in the data and physical stack.

Generative and Agentic AI · 34 lessons

How large language models produce output and why they fail, what controls exist and where they stop working, and the risks of autonomy and tool use.

Certified AI Governance Expert Foundation (CAIGE-F)

Watch a sample lesson:
Upstream vs Downstream

About this lesson

You ask what the model was trained on.

Your supplier cannot tell you, because they licence it from a company you will never get a meeting with.

What to do when upstream goes dark, without either waving it through or blocking it.

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A sample from Module 1, The AI Governance Job, on placing an organisation in the AI value chain.



Certified AI Governance Expert Foundation (CAIGE-F)

Part Two:
Understand where governance attaches

WEEKS 5–8
4 MODULES · 203 LESSONS

The largest part of the programme follows a system from design to retirement, so you know where each obligation applies.

Designing an AI System · 49 lessons

Lifecycle obligations for built and procured systems; interrogate purpose, affected populations and success criteria; assess data provenance, labelling and representativeness.

Building and Testing · 57 lessons

Read a confusion matrix, treat precision versus recall as a business decision and judge whether a test set is trustworthy.

Artefact: fairness and performance question set

Deploying, Monitoring and Retiring · 41 lessons

Specify monitoring and accountability, explain model drift, and design decommissioning and evidence retention.

Privacy Across the Lifecycle · 56 lessons

Apply data protection law at each stage, run an AI data protection impact assessment (DPIA) and assess automated decision-making safeguards.

Certified AI Governance Expert Foundation (CAIGE-F)

Part Three:
Understand what goes wrong

WEEKS 9–10
2 MODULES · 53 LESSONS

Governance starts with an honest view of failure. Part Three teaches you to see harm, bias and attack before they reach real people.

MODULE 9 · 28 LESSONS

Harms, Bias and Failure Modes

  • Name harms as consequences to real people
  • Trace where each bias enters the lifecycle
  • Apply a repeatable root cause method

MODULE 10 · 25 LESSONS

Security, Robustness and Incident Response

  • Threat-model a system, including prompt injection and data poisoning
  • Spot unlogged incidents and build a sourced timeline
  • State what the evidence cannot establish

What this means for the learner

You stop describing risk in abstract terms. Instead, you can say which group of people could be harmed, at which stage the problem entered, and what evidence supports that view.

What this means for the organisation

When something goes wrong, the organisation has someone who can reconstruct what happened from sources, separate facts from assumptions, and report clearly on the limits of what is known.

That discipline protects both the people affected and the organisation's credibility.

Certified AI Governance Expert Foundation (CAIGE-F)

Part Four:
Understand the response

WEEKS 11–14
4 MODULES · 83 LESSONS

Part Four turns understanding into control: risk assessment, assurance, vendor review and human oversight.

Risk and Impact Assessment · 19 lessons

Classify by regime, category and date; place harms by probability and severity; record who accepts residual risk.

Artefact: inventory, risk classified

Assurance, Audit and the AI Management System · 26 lessons

Assurance versus audit in three lines of defence; the evidence a management system must generate; what to automate and what needs human judgement.

Third Party and Vendor AI · 21 lessons

Find what AI suppliers run, conduct vendor AI reviews and recognise when a deployer becomes a provider.

Artefact: vendors assessed against the inventory

Ethics, Trustworthy AI and Human Oversight · 17 lessons

Apply principles to a specific system, specify oversight in operational terms, and assess explanations and challenge routes.

Certified AI Governance Expert Foundation (CAIGE-F)

Part Five:
Understand the rules

WEEKS 15–18
4 MODULES · 91 LESSONS

With the systems understood, regulation becomes something you apply to real cases rather than a list to memorise.

The EU AI Act · 32 lessons

Applicability and operator role; risk classification with its route; high-risk obligations and conformity.

Artefact: classification memo and implementation roadmap

Global Landscape Beyond the EU · 17 lessons

Compare regulatory approaches, identify the regimes that apply to a multinational estate, and design governance that scales across jurisdictions.

Sector Rules and High-Risk Use Cases · 25 lessons

Employment and discrimination law in hiring; consumer, financial and healthcare obligations; emerging use cases.

IP, Liability and Contracts · 17 lessons

Ownership of inputs, models and outputs; where liability falls; drafting AI risk clauses.


For the organisation, this part produces a reasoned classification of its systems and a roadmap to meet obligations, written by someone who understands both the law and the technology it governs.

Certified AI Governance Expert Foundation (CAIGE-F)

Part Six:
Do the job

WEEK 19
1 MODULE · 18 LESSONS

The final week brings every part together into a governance programme you can build and run.

MODULE 19

Building and Running the Programme

  • Assess readiness and structural gaps
  • Design governance structure, terms of reference and an accountability map
  • Write a two-page board paper

ARTEFACT

Board paper, ninety-day plan and accountability map

For employers

Graduates leave with work they can use inside the organisation straight away. The board paper rests on the inventory, risk classifications and vendor assessments built across the course, so it describes your organisation's real systems.

Certified AI Governance Expert Foundation (CAIGE-F)

One inventory that grows into a board paper

FIG. 1
WEEKS 1–19

Nineteen artefacts in total, built around one document rather than disconnected worksheets.

Week 1

Start the AI inventory

Week 11

Risk-classify it

Week 13

Test it against vendors

Week 19

Evidence beneath the board paper

Fig. 1 The inventory journey across the programme.

Week 1 · Start the AI inventory

You list the AI systems your organisation runs, including unapproved ones, and map who builds, supplies and deploys each.

Week 11 · Risk-classify it

Each entry gains a classification by regime, category and date, with harms placed by probability and severity and a named owner for residual risk.

Week 13 · Test it against vendors

You check what your suppliers actually run and assess each vendor against the inventory.

Week 19 · The evidence beneath the board paper

The completed inventory supports your two-page board paper, ninety-day plan and accountability map.

Certified AI Governance Expert Foundation (CAIGE-F)

How each week is taught

WEEKLY RHYTHM
CAIGE-F · 2026

Every module follows the same shape, so you always know where you are and what you are building.

Welcome lesson

Where you are in the programme, a recall exercise from two or three modules back, the problem the module addresses, its three outcomes and the artefact you will produce.

Wrap-up

What changed in your understanding, finishing the artefact, one action to take at work, and why the next module follows.


Progress checkpoints

Checkpoints after weeks 7 and 13 give you and your employer a clear view of progress before the later parts begin.

Ten-question diagnostic

Experienced privacy professionals can take a short diagnostic and skip foundational vocabulary they already know.

The recall exercise matters. By returning to material from earlier modules each week, the course keeps what you learned in Part One active when you need it in Part Five.

Certified AI Governance Expert Foundation (CAIGE-F)

Meet your instructor

Jamal Ahmed

DIRECTOR, PRIVACY PROS ACADEMY

Jamal presents the programme and signs the certificate you earn.

70,000+

professionals trained

137

countries

#1 & #2

EU AI Act bestsellers

Privacy Leader

of the Year

Jamal Ahmed is an internationally recognised privacy and AI governance expert, global keynote speaker, bestselling author and founder of Privacy Pros Academy.

He has trained more than 70,000 professionals across 137 countries and built a global reputation for turning complex regulation into practical, real-world capability.

Jamal has delivered keynotes to organisations and institutions including the European Commission and has been recognised as Privacy Leader of the Year.

His work has received multiple industry awards, including Best Contribution to the Industry, while his books on the EU AI Act have become international bestsellers and reached #1 and #2 in their Amazon category.

Through Privacy Pros Academy, Jamal has helped professionals build the confidence, credibility and practical expertise needed to advance their careers in privacy and governance.

He created the Certified AI Governance Expert (CAIGE) Accelerator to bring that same practical, career-focused approach to AI governance developing professionals who can do the work, advise organisations and lead responsible AI governance in practice, not simply understand the theory.

Jamal has a clear talent for breaking down complex topics and presenting them in a way that is practical, engaging, and easy to understand.

Georgia Bakatsia · Legal Officer - European Data Protection Supervisor

Certified AI Governance Expert Foundation (CAIGE-F)

CERTIFICATE · CAIGE-F · 3 YEARS

The credential you earn

CPD

Accreditation under assessment

Board-ready

Practitioner standing

CAIGE-F

Post-nominal designation

Certified AI Governance Expert Foundation

Awarded by Privacy Pros Academy and signed by Jamal Ahmed, Director.

A practitioner qualified to assume responsibility for the governance of artificial intelligence within an organisation, to classify its systems under the regulatory regimes that govern them, and to answer for that governance before a board or a regulator.

Use the designation while you remain on the Academy's register and in good standing.

Certified AI Governance Expert Foundation (CAIGE-F)

Professionals from these organisations have joined the founding cohort

Joined by DPOs, security leaders, lawyers, project managers and career pivoters across finance, healthcare, consulting, energy, government and education.

“

I see AI governance as a natural extension of the work I'm already doing… this program is about staying ahead of a rapidly evolving field.


Peter Armstrong
Cybersecurity Consultant

“

The people who truly understand how AI works and where the risks and failures are, are the ones who see the next challenge first. That's where I want to be.

Chika Adams
Privacy Consultant

“

AI is moving into healthcare faster than the governance around it… I want to help shape how third-party AI is governed before it reaches patients.

Katarzyna Hardcastle
Senior Manager, Supplier Quality & Development

Your colleagues are already enrolling. Secure your founding-cohort place.

Certified AI Governance Expert Foundation (CAIGE-F)

Built for an international audience

DESIGN
ANY JURISDICTION

The course is written for any jurisdiction and for second-language learners.

Scenarios use no country-specific institutions.

The language is plain: no idioms, metaphors or wordplay, and abbreviations are expanded on first use.

No questions test dates, penalty figures, case outcomes or the current status of instruments, so the assessments stay accurate as regulation changes.

NEXT STEP

Join the founding cohort on Wednesday

28 October 2026.

Nineteen weeks later, you finish with the CAIGE-F credential and a governance file.

Enrol now for one of the limited 100 founding cohort member seats and save 80%.

£5,000 £1,000 if you pay in full, or 3 × £400 monthly payments

More than 67 seats have already been secured. Don't miss out!


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