Free Introductory Course

Doing the Work of AI Governance

Discover what AI governance really involves and how your existing experience gives you a powerful head start into one of the fastest-growing and most rewarding careers.

In this short, practical course, you’ll learn what AI governance practitioners actually do, explore real-world failures and what can be done differently, and then map your own pathway into or advancing in this field.  

Through a series of case study stories, we discuss the limits of conventional approaches to governance, risk and compliance and then explore the powerful approach of adaptive governance as demonstrated by Waymo.

NB. You'll be asked to create an account before access is granted. This will allow you to track your progress and receive updates from AI Career Pro.
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Not sure where you are on your AI governance journey?

Not sure you have the skills to become an AI governance practitioner? 

Level:

Introductory
(FREE Course)

Topics:

3 topics

Time:

~45 mins

(11 short videos)

Maps to:

 Orientation

Your Guide:

James Kavanagh

What You'll Learn 

In under an hour, you’ll learn what it really means to work as an AI governance practitioner, explore how adaptive governance practices at companies like Waymo always surpass conventional approaches to governance. You'll also see how you can build from foundations to mastery in adaptive governance through a comprehensive program of knowledge, tools and skills within the AI Governance Practitioner Program. 

Understand AI governance 

Discover how AI governance keeps AI systems safe, secure and lawful through real-world case studies and principles.

Explore adaptive governance

Explore how Waymo demonstrates adaptive governance through safety mechanisms and culture that continuously evolves and is embedded into product development and operation.

Map your journey

Explore how the AI Governance Practitioner Program can help you build both your knowledge and practical skills to be effective in real practice and demonstrate both your credentials and capability.

How Waymo practices adaptive governance by sensing, simulating and guiding new behaviour continuously.  One of the four case studies we cover in this short course.

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 roles in AI governance, and guides current practitioners to mastery of their practice. He writes frequently to share his experiences and insights at blog.aicareer.pro.

He also leads the creation of a platform of tools that enable AI Governance Practitioners to design effective adaptive governance mechanisms. 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.