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Telangana to Replace Traditional Coursework with AI and Skills Training in New Minority Colleges

The Telangana government also plans to introduce scholarship incentives and mentorship support for minority students, though implementation details and funding have not yet been announced.

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The Telangana government also plans to introduce scholarship incentives and mentorship support for minority students, though implementation details and funding have not yet been announced.

A. Revanth Reddy, the Chief Minister of Telangana, announced plans to establish special degree colleges for minority students across the headquarters of 10 erstwhile districts in the state, with a curriculum focused on artificial intelligence, data science, and vocational training.

The proposed colleges are designed to replace conventional theory-heavy coursework with practical, job-oriented programs, supporting Telangana’s broader ambition to position itself as a leading technology and innovation hub.

The announcement came during a high-level review on minority welfare. Chief Minister Reddy directed officials to design financial incentives for meritorious minority students comparable to existing schemes for Backward Classes, Scheduled Castes, and Scheduled Tribes, according to the annoucement. Selected Group-1, Group-2, and Group-3 officers will be assigned to mentor candidates from minority communities admitted to those services, the report said.

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The decentralized placement of colleges at district headquarters is intended to reduce the urban-rural education gap and extend access to specialized instruction across the state’s minority populations.

The move comes as the Chief Minister has publicly flagged learning gaps in government schools. Speaking at a separate event, Revanth Reddy cited survey data indicating that only 6.7% of Class 6 students in state-run schools could read their assigned grade-level texts; the remaining students could manage only Class 3 material.

The announcement did not include a published curriculum, budget allocation, or implementation timeline, leaving open questions about faculty hiring, computing infrastructure, and industry partnerships, factors that typically determine whether government AI-skilling programs produce measurable employment outcomes.

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NN Desk

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