AI Data Safety Micro-Course

This giveaway is a ready-to-review micro-course package for AI data safety at work. It includes lesson copy, three workplace scenarios, quiz questions with teaching feedback, a remediation note, LMS packaging guidance, and a Content Studio by Jericho prompt to recreate or adapt the course.

The package teaches a practical decision: before pasting work content into an AI tool, check whether the tool, data type, and use case are approved.

AI data safety is high-intent training territory because it sits at the intersection of security awareness, GRC, AI governance, policy rollout, and buyer-owned LMS delivery. Teams are writing policies faster than they can turn them into useful employee guidance.

This course does not promise compliance or risk elimination. It gives teams a focused, reviewable training starter they can adapt to approved tools, data categories, and internal review processes.

Download the markdown course package, replace the placeholders for approved AI tools, policy location, data categories, and help channel, then use the included Content Studio by Jericho prompt to generate a course draft, quiz, remediation note, captions/transcript guidance, and LMS-ready export notes.

Teams that need role-specific versions can adapt the same prompt for sales, customer support, developers, finance, managers, MSP clients, or post-policy rollout refreshers.

Human review is required before publishing. Security should confirm the risk framing, GRC or AI governance should confirm policy fit, L&D should check learner clarity, and legal or compliance reviewers should inspect sensitive language when the course references regulated data, contracts, CUI, customer commitments, or employee data.

Use this as a starter asset, not legal advice or a guarantee of outcomes.