
Building a Globally Competitive
Centre of Excellence in AI
To establish a globally competitive Centre of Excellence in AI, it is essential to focus on
foundational pillars that drive research, innovation, and industry collaboration.
State-of-the-Art Infrastructure and Research Facilities
ŸA world-class AI CoE must feature cutting-edge computing resources, high-performance
clusters, big data storage, IoT labs, and AI-driven automation tools. Smart classrooms,
virtual labs, and AI-powered training facilities will enhance research and learning. Ensuring
robust cybersecurity and global compliance standards will safeguard data integrity. AI-
driven governance frameworks will strategically manage research initiatives, keeping the
CoE at the forefront of technological advancements.
Industry-Driven Research and Strategic Collaborations
ŸIndustry-driven research is key to practical AI applications. Collaborations with Google,
Microsoft, NVIDIA, TCS, and Infosys will enable joint projects in healthcare, agriculture,
manufacturing, and finance. Corporate sponsorships and technology transfer initiatives will
bridge the gap between theoretical research and commercial AI solutions. AI consulting
services will further support industries in AI integration, strengthening India’s AI-driven
economy.
Global AI Research Collaborations
ŸGlobal integration is vital for sustained AI progress. MoUs with MIT, Stanford, and Carnegie
Mellon will facilitate faculty exchanges and joint research. Partnerships with OpenAI,
DeepMind, and IBM Research will drive co-development projects. Participation in global AI
conferences will expand research visibility and collaboration. Seeking international funding
from the UN, World Bank, and EU will ensure financial sustainability while addressing global AI
challenges.
Developing a Future-Ready AI Workforce
ŸThe CoE will develop AI talent through B.Tech, M.Tech, and Ph.D. programs, alongside
certification courses in AI, ML, NLP, and Data Science. Faculty development, internships, and AI
research fellowships will nurture top talent. Collaborations with industry partners will provide
hands-on experience, preparing professionals for AI-driven transformation.
Ethical AI, Policy Advocacy, and National AI Strategy Alignment
ŸBeyond technical innovation, the CoE will promote ethical AI, addressing bias, fairness,
accountability, and security. Engaging with policymakers will help shape AI regulations that
foster responsible innovation. Aligning with India’s national AI initiatives will ensure the CoE
plays a pivotal role in driving ethical AI adoption.
Innovative AI Education and Curriculum Development
ŸA dynamic AI curriculum must integrate interdisciplinary learning across robotics,
cybersecurity, data science, and ethics. Experiential learning through live projects,
hackathons, and industry internships will provide hands-on expertise. Dual-degree
programs, student exchanges, and AI boot camps will facilitate global exposure and
continuous upskilling, preparing graduates to lead AI innovation.
14 | Centres of Excellence in AI