Every field builds a vocabulary, and AI built one faster than any field in memory, then kept mutating it. Professionals now sit in meetings where "agents," "RAG," "fine-tuning," and "context windows" fly past as though everyone signed the same glossary, and asking feels like a confession. This page is the glossary everyone was assumed to have signed.
How this glossary works
Plain business language. Every term is defined for the professional who needs to use it in a decision, not reproduce it in an exam: what it is, why it matters commercially, and what it is commonly confused with.
Maintained, not archived. The vocabulary mutates; the glossary is updated by faculty who teach this material continuously, so definitions track how terms are used now, including where popular usage has drifted from technical meaning, a drift worth knowing about.
Organized for lookup and for learning. Alphabetical for the meeting-in-progress lookup; grouped by theme (models, techniques, deployment, governance) for the professional building vocabulary deliberately.
Where to go deeper
A glossary defines; it does not teach. For the structured version of this knowledge, start with the AI Fundamentals course, sample the teaching free in the resources library, or keep vocabulary current automatically through the newsletter, where new-term briefings appear as the field coins them.