Kazakhstan's AI-SANA program reaches 100,000 participants as 4,000 students complete training

Kazakhstan's AI-SANA program has trained 4,000 students through its full curriculum, reaching roughly 100,000 participants in its first phase. The next stages will follow Stanford-developed methods across 27 universities.

Categorized in: AI News Education
Published on: May 04, 2026
Kazakhstan's AI-SANA program reaches 100,000 participants as 4,000 students complete training

Kazakhstan trains 4,000 students in AI skills through government program

Kazakhstan's Ministry of Science and Higher Education has completed the first phase of AI-SANA, a national training initiative that has reached approximately 100,000 participants, with 4,000 students finishing the full curriculum. The program aims to build artificial intelligence expertise across the country's higher education system.

Minister Sayasat Nurbek met with Paul Kim, an international AI expert and key developer of the program, to review results and plan the next phases. The discussion included representatives from 27 universities selected to roll out the initiative.

Focus on practice-based learning

The second and third phases will follow methodology developed at Stanford University. The program uses the SMILE platform to combine theoretical instruction with applied projects, allowing students to develop entrepreneurial skills and build AI solutions.

Kim outlined a shift toward practice-oriented formats rather than lecture-based instruction. Students work on real problems while learning foundational concepts.

What universities need to do

The ministry identified three priorities for the program's expansion:

  • Strengthen university support for training delivery
  • Increase mentor engagement and oversight
  • Improve tracking of student completion rates

Officials said they will scale the program systematically while maintaining education quality. The government views AI workforce development as essential to the country's technical capacity.

For educators working in higher education, this represents a structured approach to integrating AI for Education across institutions. The focus on mentorship and completion metrics reflects growing recognition that technical skills require sustained support beyond standard coursework. Organizations interested in Generative AI and LLM frameworks may find value in how the program structures learning progressions.


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