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AIL 101 · For everyone

AI Literacy: Foundations

A plain-English course for everyone at work: how AI answers, where it breaks, what happens to the files you paste, and the habits that keep your work safe.

7 lessons · about 26 min · quiz · certificate

Course outline

Lessons

  1. 1How AI answersHow a model predicts an answer from patterns · Why reasoning and web search still get things wrong · Why wrong answers sound sure and where AI helps4:08
  2. 2The AI you don't seeWhat shadow AI is and why it happens · How shadow AI gets in · What to do when you come across shadow AI3:34
  3. 3Where it breaksHow bias gets into data, labels and proxies · Made-up citations and what courts did about them · Why people trust a machine that is mostly right · How hard to check and what to report4:51
  4. 4Data leaving the buildingWhat happens to what you paste into AI · How files, note-takers and shared links carry data out · Which data can go into which tool4:03
  5. 5Hidden decisions and synthetic contentExplaining a decision that AI helped make · Deepfake fraud and how labels mark AI content · AI decisions about you4:25
  6. 6Habits for working with AIPick the job, protect the data, check the work, speak up · Using the habits on a summary before a client call · What the compliance team does with your report3:40
  7. 7Supervising the workThe habits for every new tool and your certificate1:10
  1. Final quizOpens when every lesson is done.
  2. CertificateA dated record of completion, issued when you pass the quiz.