Great Learning

Great Learning is a global ed-tech company for professional and higher education. In this wiki, it appears as the delivery collaborator for MIT Professional Education’s Applied AI and Data Science Program ^[src-060].

Key facts

Type: Ed-tech company / program delivery partner
Source role: Collaborator delivering the MIT Applied AI and Data Science Program with MIT Professional Education ^[src-060]
Scale claim in brochure: 13 million+ learners from over 170 countries ^[src-060]
Partner positioning: Programs developed with institutions such as MIT Professional Education, Johns Hopkins University, The University of Texas at Austin, Northwestern School of Professional Studies, Deakin University, and Great Lakes Institute of Management ^[src-060]
Program role: Application screening, program manager support, industry mentorship, live mentored sessions, and learner-success infrastructure ^[src-060]

What it does

The brochure positions Great Learning as the operational and mentorship layer around MIT Professional Education’s curriculum. Learners receive program-manager support, mentored learning sessions, application screening, and access to data science and machine learning mentors from industry ^[src-060].

See also: MIT Professional Education, MIT Applied AI and Data Science Program, Data Science & AI Bootcamp

Source references

^[src-060] MIT Professional Education / Great Learning — “MIT Applied AI and Data Science Program Brochure” (2025-12)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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