Kazakhstan’s Ministry of Science and Higher Education is developing cooperation with NVIDIA on training specialists in artificial intelligence and high-performance computing. One focus is preparing university instructors to teach the company’s international NVIDIA Deep Learning Institute (DLI) programs.
The initiative envisages a network of certified NVIDIA DLI instructor ambassadors. They will be able to teach the company’s international programs, use its official course and laboratory materials, and build students’ AI skills at their universities.
On October 23, Minister of Science and Higher Education Sayasat Nurbek met in Astana with NVIDIA founder and CEO Jensen Huang. Nurbek presented Kazakhstan’s AI capabilities, the results of digital transformation in higher education, and an initiative to develop Physical AI.
Physical AI combines artificial intelligence with systems that interact with the physical world. The technologies can train robots, model production processes, test engineering solutions in virtual environments, and create digital twins of industrial facilities. Potential applications include mining, energy, transport, and other sectors.
Twelve technical universities in Kazakhstan are taking part in the pilot. Four instructors have become NVIDIA DLI ambassadors and received international certificates. Student training using the company’s learning materials has also begun. Certified instructors can deliver practical DLI classes and pass their knowledge on to students.
The ministry plans to scale up the experience and extend participation to more than 100 universities. One proposal is to establish a regional NVIDIA Physical AI Hub at Qazaq AI Research University (QAIRU), bringing together education and research capabilities to develop and test Physical AI solutions.
Students and researchers will be able to use NVIDIA Omniverse and Isaac to create digital twins, model production processes, test robotics systems, and develop engineering solutions for real-world industrial tasks. The proposed center could include a facility for training and certifying DLI instructors, university laboratories, and infrastructure to develop and test new technologies.
Potential areas of work include digital twins for industry, energy and transport, as well as robotics and autonomous systems. The organizational format for the center and terms of further cooperation are to be worked out jointly with NVIDIA.
