One-off training produces confidence without capability. A three-stage path that builds the margin a lecturer needs, and the one measure worth tracking.
A 34-class-hour LLM and RAG programme delivered to the world's first AI research university: what was built, why retrieval was central, and what transfers elsewhere.
The most common failure in an AI course is that the lab does not work on the day. Four requirements, and an honest build-versus-adopt comparison.
A shared conceptual core plus major-specific practice. Why one general course for the whole cohort fails, and what to assess instead.
UNESCO's 2024 frameworks give institutions and ministries a shared vocabulary. Mapping an existing course to them takes about a day and usually finds the same four gaps.
A general-purpose LMS was never built to run AI courses. Here are the six capabilities an institution actually needs, and the order most of them adopt.