Extracted Data Points
- Union Minister for Electronics & IT, Shri Ashwini Vaishnaw, held a high-level meeting with the AI Curriculum Taskforce in New Delhi
- The Taskforce conducted a baseline study of existing Bachelor of Technology (B.Tech) Computer Science and allied curricula in Indian educational institutions
- The study was undertaken in partnership with industry experts and the National Association of Software and Service Companies (NASSCOM)
- The study identified significant gaps in pedagogy, infrastructure, and practical exposure in fields including Generative AI, Machine Learning Operations (MLOps), and foundational model development
- Proposed shift from current 25–30 per cent practical exposure to 40–75 per cent, depending on the nature of the degree and chosen specialisation
- Multiple entry-exit options proposed: Certificate after Year 1, Diploma after Year 2, and Advanced Diploma after Year 3
- Faculty development recommendations include structured Train-the-Trainer programmes, curated course content, standardised assessment frameworks, and modernised labs
- Proposal for creation of a national-level shared AI infrastructure using a triple helix model jointly supported by industry, Government, and academic institutions
- The shared infrastructure would ensure equitable access to Graphics Processing Unit (GPU) compute, edge devices, software stacks, and subscription-based platforms
- Four immediate next steps identified: Estimation of Requirements for compute, infrastructure, faculty and learner volumes; Engagement with AICTE for formal adoption; Faculty Development Roadmap; Parallel Track for Non-STEM Disciplines
- The parallel track for non-STEM disciplines would cover AI awareness, foundational AI literacy, and applied use of AI in non-technical roles
Relevant - Contains specific policy initiatives, curriculum changes, quantitative targets for practical exposure, and infrastructure development plans relevant to education policy and technology sector development.