AI Governance Practitioner Program: Course 1

Introduction to AI Governance

Whether you're new to AI governance or formalising what you already know, this course gives you the grounding to do the work, not just talk about it.
This is not a glossary of AI terms or a policy overview. It's a practitioner-built course that works through the real questions: what AI actually is and how it fails, why governance matters and what it covers in practice, and what accountability looks like when things go wrong.

You'll leave with a clear framework, a working vocabulary, and the confidence to engage in AI governance conversations - regardless of your starting point. The 40+ real-world case studies throughout aren't illustrations. They're the mechanism.

Course 1 maps to IAPP AIGP Domain 1A and lays the foundation for every course that follows.

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 The next course in The AI Governance Practitioner Program is Course 2: Organising for AI Governance. 
 Buy individual courses (US$59) or purchase Track 1: Foundations of AI Governance, including Courses 1 - 4, for US$199.

Level:

Practitioner

Inclusions:

14 Topics
90 Activities

Time:

4.75 hours 

(59 short videos)

Maps to:

AIGP Domain I.A

Your Guide:

James Kavanagh

“I like how this course combines theoretical knowledge with real-world examples and practical guidance. It makes complex concepts easier to understand and allows for immediate application of what I have learned.”
AKRITI PARIDA, CANADA

What You'll Learn

Build your foundational understanding of AI governance — from how AI systems work to why effective governance is essential for safety, trust, and compliance.

Understand how AI systems actually work

From machine learning fundamentals to deep neural networks, explained for governance practitioners, not engineers.

Identify the risks that make governance essential

Explore bias, fairness, privacy, safety, security and autonomy, and the ways AI fails in practice. 

Build a shared vocabulary 

So you can work confidently alongside technologists, lawyers, auditors, and business leaders.

Apply a governance framework from day one

Real case studies, mechanism cards, and reflection exercises you can connect to your own organisation immediately.

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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 Practitioner 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.