Course
Safety, Privacy, and Responsible Use of Meta AI
Course focus:
Meta AI
Course Learning Outcomes
By the end of this course, students should be able to:
- Explain the specific Meta AI capability used in this course without provider hype.
- Build a practical workflow using Meta app ecosystem workflows across WhatsApp, Instagram, Facebook, Messenger, image generation/editing, voice, and social publishing.
- Produce a reviewable artifact such as social campaign plan, caption/image test set, DM response guide, mobile content calendar, publishing risk checklist.
- Diagnose common failure modes and revise the workflow.
- Verify quality, privacy, rights, and human-approval requirements before use.
After enrolling, students can complete lesson quizzes as they move through the course.
The course final assessment unlocks after all required lessons and lesson quizzes are complete.
Paid Learning Context
Original baseline context: Students learn the six categories of information never to share with any AI tool, the unique privacy context of Meta AI within Meta's social media ecosystem, the consequential decision test, and five non-negotiable professional review categories.
The paid version of this course treats the topic as a production workflow. Students must leave with a usable artifact, a reusable method, and evidence that the result was reviewed rather than blindly accepted.
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