Developed by the team of Alexander Boukhanovsky, the head of ITMO’s Institute of Artificial Intelligence, the AI course lasts two months and includes online classes, expert consultations, and an on-site project defense. Over two years, the program’s organizers received 3,500 applications from over 50 cities – 320 lecturers completed the course. Participants produced 60 final projects, with some having already been implemented at schools and universities.
“It’s no longer enough for educators to analyze data and generate AI prompts; today, they have to have a mindset of a qualified education customer – that is, they need to be well-versed in AI and know how these technologies can transform the educational process. Such specialists should be able to set clear tasks for developers, evaluate results, and, above all, recalibrate their workflows to align with the subject they teach, be that natural sciences, tech, or humanities. Our mission is to show our students how they can become architects in their fields and create original courses and programs, following the latest AI trends,” notes Alexander Boukhanovsky.
The course offers three tracks based on levels and subject areas: basic (for humanities lectures and methodologists), intermediate (for mathematics, programming, and business informatics lecturers), and advanced (for experts in machine learning, generative AI, and recommendation systems).
Data Fusion Awards is a national cross-industry award in AI and data analysis that is given to companies, educational institutions, and government structures that have succeeded in promoting data fusion, big data, and AI in Russia.
