Noelle Russell

Noelle Russell

1.6K Subscribers

6× Microsoft MVP who has trained millions of leaders in responsible AI.

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Noelle Russell Empowering Leaders With AI

Noelle Russell is a multi-award-winning TEDx speaker, best-selling author, and AI Executive who specializes in transforming businesses through delivering responsible AI Solutions that scale. She is a revenue growth + cost optimization expert, 6x Microsoft AI MVP, and named the #1 Agentic AI Leader in 2025. She has taught over 3.4 million learners in LinkedIn. She has led teams at NPR, Microsoft, IBM, AWS and Amazon Alexa, and is a consistent champion for Data and AI literacy and is the founder of the "I ❤️ AI" Community teaching responsible AI for everyone.

Previously at
Amazon Web Services
Microsoft
Accenture
Red Hat
VMware

Alumni reviews

Arjumand

Live cohort
Great content!

Julie

Live cohort
Such an informative and fun experience! Noelle is always so generous facilitator with her real world insight and resources. Thank you!

Padmini

Live cohort
Excellent course that I highly recommend! This course takes red teaming from an abstract concept to something practical and actionable. In my professional experience, I've encountered many people who are unfamiliar with red teaming and its core principles. This course does an outstanding job of making these concepts approachable, breaking them down into a clear, easy-to-follow format. If you're looking to better understand red teaming and its real-world applications, this is the course for you!

Kim

Live cohort
Real world scenarios and breaking out into teams to work through the red teaming exercises made this course valuable and actionable. Watching a video or listening to a lecture would never deliver the same value or build the level of expertise required to implement a competent red team deployment. I highly recommend this course to anyone serious about becoming a member of a red team.

Jacinta

Live cohort
Noelle overdelivered! I learnt that most organisations check whether their AI works and whether it’s secure, but skip the question that matters most: can someone talk it into doing something it was never meant to do? You don’t need to code to find out, because the attack surface is language. AI tends to fail in five ways. It makes things up, shows bias, leaks what it shouldn’t, drifts beyond its job, or gets trusted too much. Each of these failures starts in one of four layers, and knowing the layer tells you who has to fix it. A finding only matters if you can reproduce it, rate how serious it really is and write it up clearly enough for someone to act on. Above all, red teaming isn’t a box you tick before launch. It’s an ongoing habit, and the board’s role is to set the rules, make the call and own the outcome. Such an awesome session!