What is Pak AI CoE?
Pakistan AI Centers of Excellence (Pak AI CoE) is a proposed national AI infrastructure framework that is being designed with reference to the National Vocational Qualifications Framework (NVQF), Competency-Based Training and Assessment (CBT&A), and the public mandate of the National Vocational and Technical Training Commission (NAVTTC). Formal approval and implementation will be subject to the relevant governmental processes and decisions.
Phase-1 launches a 12-hub cluster in Karachi anchored at Nazeer Hussain University (NHU). Subsequent phases extend the model to 24 and then 100+ hubs, creating a shared High-Performance Computing (HPC) fabric and AI sandboxes accessible to technical and vocational institutes across Pakistan.
Core Purpose
- Turn Pakistan’s youth into AI-ready technicians, developers, and engineers.
- Give TVET and university systems a proposed national AI curriculum designed at NVQF Levels 2–5. Formal recognition will depend on NAVTTC.
- Provide industry and government with applied AI labs, pilots, and regulatory sandboxes.
- Use Karachi as the flagship pilot and blueprint for a 100-hub national AI grid.
Who Is It For?
- TVET learners, undergraduates, and mid-career professionals seeking AI skills.
- Factories, hospitals, banks, logistics and public-sector entities modernizing with AI.
- Universities, TEVTAs, and training providers that need structured AI qualifications.
- Startups and innovators building AI products for Pakistan and export markets.
Disclaimer
Pak AI CoE is currently a concept proposal and design framework for a potential network of AI Centers of Excellence in Pakistan. All references to NAVTTC, NVQF, and other governmental policies are descriptive and aspirational, based on publicly available regulations. The initiative has not been officially approved, accredited, or adopted by NAVTTC or any other governmental body at this time. The preferred pathway is formal adoption and support by the Government of Pakistan under a public–private model; however, a private implementation track will continue to be developed in parallel so that time, design work, and partnership opportunities are not lost if public funding is delayed or not provided.
