Training program
Course tracks
Junior for grades 6–8, Senior for grades 9–11, and an intensive. All three prepare students for the next cycle, IOAI 2027.
Junior track
Python, math and ML basics, from scratch.
- Best for
- Grades 6–8, beginners.
- Workload
- Weekly practice and homework.
- Outcome
- Python, math basics, first ML projects.
- Topics
- Python programming
- Mathematics for AI
- Introduction to machine learning
Senior track
In depth: ML, NLP, computer vision, RL.
- Best for
- Grades 9–11 with Python or olympiad experience.
- Workload
- Harder tasks, labs, regular checkpoints.
- Outcome
- ML foundations for competitions.
- Topics
- Machine learning
- Natural language processing
- Computer vision
- Reinforcement learning
- Competitive programming algorithms
National-team intensive
Focused preparation for selection and competitions.
- Best for
- Strong students who move faster than the group.
- Workload
- High workload, mock contests, reviews.
- Outcome
- Ready for selections and international-level tasks.
- Topics
- Machine learning
- Natural language processing
- Computer vision
- Competitive programming algorithms
Course format
Blended, cohort-based training.
The courses build a strong base in mathematics, logic, Python, machine learning, working with data and olympiad problem solving.
- 2 theory sessions per week
- 1 hands-on lab per week
- 1 quiz per week
A mentor team with olympiad background
Enrollment and availability
Public pricing has not been announced. Contact the team for current group availability, entry requirements, schedule, and enrollment details.