The AI Governance Practitioner Program

AI governance starts with knowledge. But success depends on skillful application, judgment, and the ability to influence decisions. It demands real and demonstrated practitioner capability. 

The AI Governance Practitioner Program is a structured pathway of capability development from foundational knowledge through specialist depth to accomplished, recognized mastery. 

The Foundation Track builds cross-domain capability covering AI technology, risk, and governance design. From there, six Specialty Courses help you build deep skills in the areas that match your career direction, whether you're focused on assurance and oversight, building safe systems or running governance programs.

Every course is available self-paced or in a guided practitioner cohort, leading to recognition with a Practitioner Award. And every course is supported with tools and resources you can apply immediately in your work. Advancing to the Master Practitioner Award opens the door to writing, teaching, and coaching, and transition to AI Governance as your full time career.

A successful, rewarding career in AI Governance demands real capability. That's what we support you in building.

Our Approach

How we build your capability.

Most training courses focus on accumulation of disconnected knowledge. You pick a course, complete it, pass a test, pick another. There's no developmental logic connecting them, no shared methodology running through them, and no formal way to demonstrate your capability, not just your knowledge, has been tested. And they provide no structured path to career success. This program is very different.

Breadth

to understand

The Foundation Track builds cross-domain capability first across technology, risk, organizational and governance design. You learn to apply the knowledge and core practices of adaptive governance. This shared foundation of knowledge, skills and resources enables you to be effective as a starting practitioner.

Depth

to specialize

Six specialty courses help you go deep in the areas that match your career direction: Compliance, Risk, Evaluation, Engineering, Operations, and Leadership. Each one builds on the foundation's shared methodology and applies it through the lens of a specific governance discipline, with its own practical toolkit. Successful assessment leads to recognition with a Specialist Practitioner Award.

Mastery

to lead

Master Practitioner is earned through expertise in multiple specialties, verified through assessment and a formal interview. But recognition is only part of it. Master Practitioners can gain opportunities to write, teach, and coach with AI Career Pro - building practical experience, professional profile, and a track record that opens doors. It's where capability becomes a career.
Our Promise

Much more than knowledge. We'll train, equip and support you to do the real work. 

The AI Governance Practitioner Program is your structured path from foundational understanding to recognised expertise. Practical training, practitioner tools, and expert coaching to help you and your organisation master AI governance. There's no shortcut to meaningful impact. But if you're ready, we'll help you get there.

Practical Training

Every course is built around bite-size lessons, real-world scenarios, exercises, and assessments. You learn from master practitioners doing the work.

Practitioner Tools

You gain diagnostics, templates, design tools, and frameworks that you can take straight into your organisation and adapt to your context.

Enterprise Coaching

Your entire team can avail of dedicated coaching from master practitioners, tailored to your organisation's challenges, structure, and goals.
“The AI training market is saturated with introductory courses that hover at a high level and never translate into real-world execution. They talk about governance, but don’t give you the tools to implement it.

AI Career Pro is completely different. It’s clear the curriculum was built by people who truly understand the job from the inside out. It moves beyond abstract concepts and focuses on the practical how-to of day-to-day operations.

That shift from theory to practice has been a game-changer for my consulting work. It gave me a concrete structure to operationalize AI governance for companies across LATAM, turning regulatory requirements into engineering realities.

If you want to understand how governance is actually built inside an organization, this is the place.”
RODRIGO ZIGANTE, Chile

Your Path. Your Way.

Master the practice of AI governance.

Five steps. Each one is designed to follow the last for a reason.

Step 1

Know where you stand

The free AI Governance Practitioner Capability Assessment tells you exactly where your capability sits — and where to begin.

Step 2

Understand what the work involves

The free Doing the Work of AI Governance course works through real cases of governance failure and success, so you know what the work actually requires .

Step 3

Build your foundations

The Foundation Track builds the cross-domain capability — across technology, risk, law, and organizational design .

Step 4

Go deep in your specialty

Six specialty courses, each approaching AI governance through a different lens, with practical toolkits and a path to formal recognition.

Step 5

Become a Master Practitioner

The Master Practitioner pathway formally recognizes expertise demonstrated and verified across multiple governance domains.

Step 1.  Know where you stand.

Before you commit to a course or a track, you need an honest picture of where your capability actually sits. The AI Governance Practitioner Capability Assessment gives you that. It identifies what you know, where the gaps are, and which part of the program is the right starting point for you. It's free, it's fast, and it removes all the guesswork.

Step 2. Understand what the work actually involves.

Doing the Work of AI Governance FREE Course

Before committing to formal training, it's worth understanding what AI governance actually requires of the people who do it. The free Doing the Work of AI Governance course works through real cases of AI governance failure and success, and introduces adaptive governance — the methodology that runs through everything else in the program. You'll finish with a clear picture of the work, day to day. That's the foundation for deciding whether this is the path you want to pursue.
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Step 3. Build your foundations.

Foundation Track. Four courses. Self-paced or in a practitioner cohort. 

Most people entering AI governance come from one domain: law, compliance, engineering, risk, or policy. That background gives you depth in one area but not the breadth the work demands. The Foundation Track builds cross-domain capability across four courses — AI governance essentials, governance structure and design, mechanism design across the AI lifecycle, and policy writing that people can actually follow.
Available self-paced or in a small practitioner cohort of up to fifteen, guided by James Kavanagh over eight weeks. Cohort participants who pass the graded assessment earn the Practitioner Award, Governance Foundations — the first formal recognition in the program, and a prerequisite for Master Practitioner.
The Foundation Track is also available as a bundle with the AIGP Exam Preparation course — structured preparation for the IAPP AI Governance Professional certification, built to the 2026 Body of Knowledge.
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Step 4. Go deep into your specialty. 

Six courses: Compliance. Risk. Engineering. Evaluation. Operations. Leadership. 

Where the Foundation Track builds breadth, the specialty courses build depth. Six specialties — Compliance, Risk, Engineering, Evaluation, Operations, and Leadership — each approaching AI governance through a different lens, with its own practical toolkit. They're designed to be taken after the Foundation Track, which provides the shared language and adaptive governance methodology that the specialties build on.
Each specialty is available self-paced or in a cohort. Cohort participants who pass the graded assessment earn a Specialty Practitioner Award, which counts toward Master Practitioner.

AI Compliance

AI Risk

AI Engineering

AI Evaluation

AI Operations

AI Leadership

Step 5. Become a Master Practitioner

The program's highest level of formal recognition.

Master Practitioner is awarded to practitioners who have demonstrated expertise across multiple governance domains — through the Foundation Track, a minimum of two specialty cohorts, a substantial cross-domain assessment, and a formal interview. It's not self-declared and it's not automatic. It's earned.
Master Practitioners may be invited to contribute to AI Career Pro: writing blog articles, developing course content, instructing Practitioner Cohorts, or coaching organizations through Enterprise Coaching engagements. All contributions are compensated. It's a path for professional experience, earning opportunity, and shaping the future of the program.
“Having completed the Foundations Track of the AI Governance Practitioner Program, I now have a structured way to approach everything from building AI inventories, organisational mechanisms, incident response procedures, AI policy design and more - not as theory, but in practice.”

Edward Feldman, USA

AI Governance & Risk | Certified AIGP
“Whilst theory and certifications are great, I am now working my way through the AI Career Pro Practitioner Program. I'm loving the practical application of the theory and templates, learning from James' years of hands-on experience at some of the world's biggest companies.”

Nicole Jahn, Australia

CHIA | Cert. AI Governance Professional

Individual Courses

Tracks, Bundles & Practitioner Cohorts

Frequently asked questions

Are your courses regularly updated?

Yes!  Our school is committed to creating and continuously improving effective learning resources.  All course feedback is reviewed and actioned, and we do a complete review of each course for accuracy and currency every 6 months.

Do I get a certificate for your online courses?

Yes! You will get a certificate for the completion for any online course you complete. 

What if I have more questions that are not answered here? 

Please, send your questions to grow@aicareer.pro and we will respond as soon as possible.

Do I need any prior experience in AI governance to start?

No. The free course, Doing the Work of AI Governance, assumes no prior experience and is designed as the starting point. The Foundation Track builds from there. If you already have experience, the free assessment will show you where you stand and recommend where to focus.

What's the difference between a Certificate of Completion and a Practitioner Award?

A Certificate of Completion confirms you've worked through the course material. A Practitioner Award confirms your capability has been tested through a graded assessment in a Practitioner Cohort. Only the Practitioner Award counts toward the Master Practitioner pathway.

Can I start self-paced and switch to a cohort later?

Yes! Subject to available capacity. Your progress carries over. You'll join the cohort and complete the graded assessment at the end to earn the Practitioner Award.

I already have the AIGP certification. Is the Foundation Track still useful?

The AIGP tests knowledge. The Foundation Track builds practical capability: mechanism design, policy writing, governance structure design, and the adaptive governance methodology that connects them. Many AIGP holders find significant gaps between what they know and what they can do in practice. The assessment will tell you where you stand.

I'm a lawyer. Are these courses relevant to me?

Yes. AI governance sits at the intersection of law, technology, risk, and organisational design. The Foundation Track is specifically designed to build cross-domain capability regardless of your starting discipline. The Compliance and Leadership specialties are particularly relevant, but legal professionals benefit from understanding how governance is engineered and operationalised, not just documented.

How much time should I expect to invest?

Each Foundation Track course is roughly five hours of video plus exercises and reading. Each specialty is eight to eleven hours of video plus exercises and reading. In a Practitioner Cohort, expect to commit eight weeks at five to six hours per week. Self-paced learners set their own schedule.