An introductory course that explains why generative AI behaves the way it does, as a companion to the AI Fluency framework. It covers next token prediction, knowledge, working memory and steerability, with hands-on try-it activities, so learners can diagnose odd outputs and fix them.
Looks at the ethical, legal and policy questions that come with using AI, such as privacy, fairness, transparency and accountability. It uses business case studies to show what responsible AI governance looks like in practice.
Objectives
Build a working mental model of how generative AI produces answers
Recognise which kind of problem sits behind an unexpected AI output
Judge where a task sits between what AI does well and where it struggles
Apply a targeted fix rather than simply retrying
Explain the guiding principles of responsible AI
Recognise privacy, fairness and accountability issues in AI use
Outline governance and policy steps for ethical AI
Learn from real business case studies of AI used well
Things to know
The course page lists a quiz but does not explicitly list a certificate lesson.
Anthropic does not publish a duration on the course page.
Free price is a subsidy on a A$140 list price; no end date is published, so enrol while it shows A$0
Requires creating a TAFE NSW store account and checking out at A$0
Access expires 4 months after enrolment
This course's own store page does not mention a certificate; the bundle page and sibling courses state a certificate of completion is issued after all modules and the feedback activity
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