Cohort-based Course
Learn about trustworthiness characteristics and apply key principles and practices as you build products and engage prospects and customers.
Cohort-based Course
Learn about trustworthiness characteristics and apply key principles and practices as you build products and engage prospects and customers.
Course overview
Through this course and supplementary opportunities, you'll develop clarity on the trustworthiness characteristics that are most important for your product and the capability to design-in trustworthiness and engage customers and users on what matters most to them.
01
Product builders - including PMs, engineers and UX/UI designers - who are interested in contributing to or leading safe, responsible.
02
Early stage (pre-seed to Series A) and bootstrapped tech entrepreneurs building and bringing solutions to market.
03
Side-hustlers, vibe-coders and aspiring founders building 'mini-apps,' AI tools, workflows and full products, either for fun or work.
Know why trust matters for your product: learn about trustworthy AI principles and practices and 40+ trustworthiness characteristics.
Design for trust: adopt and apply trustworthy AI characteristics as you build your product or solution.
Collect AI Eval feedback on your product or solution's trustworthiness from users, builders and prospective customers.
Become verified and listed as a "Trusted AI Solution." Earn a "Trusted AI Builder" certificate.

Live sessions
Learn directly from Mary Beth Snodgrass in a real-time, interactive format.
Community of like-minded peers
Learn about trust and safe, responsible AI with like-minded builders and keep each other inspired and accountable.
'Trustworthy AI Builder' Certificate
Get certified as a Trustworthy AI Club Builder after completing the course and pitching your solution to the 'Trustworthy AI Club.'
Be listed and verified as a 'Trustworthy AI Solution.'
Join our 'Trustworthy AI Club' for free and pitch your solution twice to earn a 'trustworthiness' score and become publicly verified.
Maven Guarantee
This course is backed by the Maven Guarantee. Students are eligible for a full refund up until the halfway point of the course.
Mary Beth Snodgrass is the Managing Director and Head of the Product Advisory Collective (PAC). A seasoned product leader and entrepreneur in highly regulated industries, Mary Beth has 15+ years of leadership experience across tech startups and in highly regulated industries. At early stage healthcare and energy startups, she built and brought products to market in evolving and opaque regulatory contexts. While compliance challenges deterred or delayed other companies, the challenges became catalysts that drove her to innovate and differentiate more competitively.
Mary Beth’s expertise is at the intersection of policy and tech, which is demonstrated by her career, master’s degree in global policy, and AI product and governance courses and certifications from Oxford University, University of Pennsylvania, University of Michigan and more.
More information coming soon
More info coming soon.
Why Trustworthy AI Matters and Take a Sneak Peak at Course Content
Curious or passionate about trustworthy AI and work in tech, but unclear how to apply it?
Join the club! According to a UC Berkeley study last year, 77% of product managers do not know what responsible AI (RAI) means or how it's relevant to their job.
Know that lack of trust prevents user adoption and slows sales, but unclear what to do to increase customer trust?
Join the Applied Trustworthy AI course to learn how to apply critical trust concepts and productize AI trust.
View this 12-slide deck for a sneak peak at course content.
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Active hands-on learning
This course builds on live workshops and hands-on projects
Interactive and project-based
You’ll be interacting with other learners through breakout rooms and project teams
Learn with a cohort of peers
Join a community of like-minded people who want to learn and grow alongside you
Be the first to know about upcoming cohorts