Delivery · Localisation
Twelve languages, one curriculum: how multilingual AI training works
Domain-accurate technical translation is harder than it looks. Inside the delivery system behind our multilingual programmes.
Priya Raghavan
Chief Learning Architect
'Just translate the slides' is how multilingual training fails. Technical instruction lives in precise terminology, worked examples and cultural context — translate those carelessly and comprehension collapses even when every word is technically correct.
Terminology first
Every programme ships with a bilingual term base: the 200–400 domain terms that must stay consistent across slides, labs, captions and the Qube copilot. Terms are decided once, by a human domain linguist, then enforced automatically everywhere.
Examples that land locally
A supply-chain example built on US freight patterns confuses a room in Nairobi. Our generative content studio re-derives worked examples for the delivery region — local companies, local units, local regulatory references — reviewed by in-region instructors before release.
The copilot speaks your language
Qube answers in the learner's language while grounding in the same canonical curriculum, so a cohort spanning Bengaluru, Frankfurt and São Paulo learns one syllabus with none of the drift that plagued multilingual delivery a decade ago.
Written by
Priya Raghavan
Chief Learning Architect
Learning scientist and former university faculty. Designed curricula that have trained 50,000+ professionals across 50 countries.
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