AI & Teaching Practice

Getting Non-Technical Lecturers Ready to Teach AI

One-off training produces confidence without capability. A three-stage path that builds the margin a lecturer needs, and the one measure worth tracking.

faculty developmentteacher trainingUNESCO
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Case Studies

Inside an LLM and RAG Curriculum Delivery at MBZUAI

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.

MBZUAIUAELLM
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Product & Platform

Hands-On AI Labs: What Your Campus Actually Needs to Run Them

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.

AI labsinfrastructurenotebooks
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AI & Teaching Practice

Designing an AI Literacy Curriculum That Works for Every Major

A shared conceptual core plus major-specific practice. Why one general course for the whole cohort fails, and what to assess instead.

AI literacycurriculum designgeneral education
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AI & Teaching Practice

Mapping Your AI Curriculum to the UNESCO AI Competency Frameworks

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.

UNESCOAI competency frameworkcurriculum design
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Product & Platform

What an AI Teaching Platform Actually Needs: Six Engines Explained

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.

AI teaching platformLMSsix engines
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