AI LiteracyintermediateVideo + quiz
AI Literacy at Work: Terms, Frameworks and Good Practice
The core ideas behind AI tools at work: model, prompt, context, tokens, hallucination, grounding and agents, how to judge an output, what data is safe to share, the laws, frameworks and standards around AI use, and the working habits that keep it sound.
What you will be able to do
Explain model, prompt, context, token, hallucination, grounding and agent in plain wordsName what each idea costs you as well as what it gives youJudge an AI output before you rely on itDecide what information may go into an AI toolSet simple working rules for yourself and your teamTell a law, a framework and a standard apart, and say where each applies
About this course
The core ideas behind AI tools at work: model, prompt, context, tokens, hallucination, grounding and agents, how to judge an output, what data is safe to share, the laws, frameworks and standards around AI use, and the working habits that keep it sound.
AI Literacy
Curriculum
Welcome2 min
Requirements
How to use an AI assistant for everyday tasks
What your firm expects of staff using AI
A document to keep your notes
About 30 minutes for the lab
Made up data only, never real tenant or finance data
A Google account, to use Gemini for free
What you walk away with
A Yallo AI academy certificate of completion, issued when every lesson is complete and the final assessment is passed at 70% or aboveA public verification page, so a stranger can check the certificate without asking you for a filePDF download, and a one-click share to your LinkedIn profile
Yallo AI academy certifies completion of
AI Literacy at Work: Terms, Frameworks and Good Practice
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