AI Governance Practitioner Program: Course 4

Writing AI Governance Policies 

Most AI governance fails at the policy stage. This course is where you fix that.

Organisations write principles that sound right in board presentations and mean nothing on the ground. Policies get filed. No one follows them — not because people don't care, but because the documents don't tell them what to do.
Course 4 closes that gap. You'll write five governance documents — from scratch, using proven frameworks — that business leaders, legal teams, risk functions, and practitioners can all actually use.
By the end, you'll have an:
  • AI Governance Charter
  • AI Governance Policy
  • AI Risk Management Policy
  • AI User Policy
  • Integrated AI Policy (for smaller organisations) 
Each built from templates you can adapt and deploy immediately. This is the course where everything from Courses 1–3 becomes something you can hand to someone.
Write your awesome label here.

Where This Course Fits 

 Buy individual courses (US$59) or purchase Track 1: Foundations of AI Governance, including Courses 1 - 4, for US$199.

For:

GRC, legal and leadership professionals

Inclusions:

6 Topics
53 Activities
5 Templates

Time:

6.4 hours

(52 bite-size videos)

Certification Prep:

AIGP Domain I.A, I.B
AIGP Domain III.A

Your Guide

James Kavanagh 

This is the best course I have taken, and I've taken a lot of them. I am looking forward to your next installments. Keep doing what you are doing!
Son-U (Michael) Paik
General Counsel | AI Governance Architect | CEO, GRC Solutions

What You'll Learn

Translate governance foundations into policies, decision frameworks and artefacts that guide AI use in practice.

Write governance-ready AI policies

Structure documents that define clear boundaries, assign accountability, and tell people what to do rather than what to aspire to.

Define decision boundaries for your organisation's AI use

Articulate what AI can be used for, under what conditions, and whose approval is required.

Connect policy to principles and mechanisms

Align your policies to the governance mechanisms from Course 3 so that intent, operational controls, and formal documentation reinforce each other.

Build documentation that holds up under scrutiny

Produce governance artefacts designed for internal assurance teams, executive oversight, and external review by auditors, partners, and regulators.

Course Outline

Your Guide

James Kavanagh

James Kavanagh is a globally recognised leader in AI Governance, known for designing and implementing governance frameworks that make AI safe, secure, and lawful in practice.

At Microsoft, he led the deployment of multiple Azure cloud regions worldwide, building governance mechanisms that scaled from infrastructure to security certification. At Amazon, he created and led the company’s first Responsible AI Governance Program, achieving one of the world’s first ISO 42001 certifications.

Today, as Founder and CEO of AI Career Pro, James helps professionals translate their existing experience into purposeful and rewarding roles in AI governance. He writes frequently to share his experiences and insights at blog.aicareer.pro.

He also leads the creation of Hooman, a platform that employs AI to help govern AI at scale through adaptive human oversight. Within the development lifecycle of Hooman, James and his team are testing every principle and framework taught in these courses in live, real-world systems. 

That’s the foundation of his philosophy: “We teach what we build, and we build what we teach.” Every course, case study, and tool in the AI Governance Foundation Program is grounded in real implementation experience - giving you access to the same methods used by leading organisations to govern AI safely, securely and lawfully.