AI is now part of how most roles get done, but "AI literacy" is vague and easy to fake, and teams have no reliable way to judge it. This course gives recruiters, hiring managers, and interviewers a practical way to tell whether a candidate can genuinely work well with AI, in any role, without rewarding people who just know the vocabulary. Learners define what good AI use looks like for a specific role, design questions and exercises that surface real ability, and assess it fairly and consistently across very different kinds of work.
Learning Goals:
Define what working well with AI looks like for the role. Get specific about the AI ability a given role actually needs, instead of treating "AI literacy" as one vague catch-all skill.
Design questions and exercises that reveal real ability. Build assessment that surfaces how a candidate genuinely works with AI, rather than how well they can talk about it.
Tell genuine competence from surface fluency. Spot the difference between a candidate who can deliver with AI and one who has simply learned the buzzwords.
Assess AI literacy fairly and consistently. Apply the same clear standard across very different roles and across interviewers, so judgments hold up and stay comparable.
