AI credentials have a trust problem of their own making: certificates awarded for watching videos, badges issued by the vendor whose product they promote, and LinkedIn feeds full of both. Employers have noticed. A credential only carries weight when it certifies demonstrated capability, assessed by someone with standing to judge, and most AI certificates certify attendance.
The AI Faculty Certification Program is built to be the exception: an assessed, portfolio-based credential, earned through demonstrated work and evaluated against standards set by instructors who teach at the university level and deploy AI commercially.
How does certification work?
1. Complete a certification track. Defined course sequences through the catalogue, combining foundations like AI Fundamentals and Prompt Engineering Mastery with a specialization such as marketing, strategy, or automation.
2. Build the portfolio. Certification requires applied work: the artifacts, workflows, and projects produced through course capstones, documenting real capability on real problems.
3. Pass assessment. Portfolio and assessed exercises are evaluated against published standards; certification is granted for demonstrated skill, which means it can also be withheld, which is precisely what makes it worth granting.
Why does this credential carry weight?
Because of who stands behind it and what it takes to earn it. The assessing faculty hold university teaching appointments and active AI practices; the standards are published; and the portfolio requirement means every certificate holder can show, not just claim, what they can do. Employers evaluating a candidate's certification can see the standard it certifies.
Who should pursue certification?
Professionals formalizing AI capability for career positioning, teams standardizing skills through corporate learning plans, and career changers who need their new capability to be legible to employers.
How do you start?
Enrol via an individual subscription, begin your track, and the program guides you from there; sample the teaching first through the free resources library.
Frequently asked questions
How long does certification take?
It depends on your pace and starting skill; tracks are self-paced, and the assessment schedule is published inside the program.
Does certification expire?
Credential currency policies, including any renewal or continuing-education requirements, are published with the program standards; AI moves fast enough that a currency mechanism protects the credential's value for everyone holding it.
Can employers verify a certification?
Yes; verification is part of the program design, because a credential that cannot be checked is a design flaw.