Dushanbe city, Rudaki Avenue, 57 +992 (44) 600-11-11
Joint Extracurricular Educational Institution

Training and Usage of Modern Information and Telecommunication Technologies NAVOVAR

A targeted four-year course (2026–2030) for 8th-grade students of secondary schools. A rigorous competitive selection process is conducted. Only successful students continue their further education.

End-to-end integration of an AI Assistant in every lesson

4-Year Fundamental Program "Technologies & IT"

A comprehensive trajectory for students (core stream — 8th grade) for 2026–2030.
Class schedule: 3 times a week from 15:00 to 17:00 for each group.

Level: Starter (Foundations of Computer Science for grades 5-11)

Foundations of Computer Science: From Zero to Guru

A fundamental launch into the world of computer science. Studying the nature of information, numeral systems, data encoding principles, as well as the architecture of modern computers and networks.

Role of the AI Assistant in Year 1: Interactive prompter. Helps the student convert numbers between numeral systems "on the fly", explains encoding tables, and generates check-up micro-tests after each topic.
Information, its types and properties Broken down by hours
Numeral systems (Binary, octal, hexadecimal) Broken down by hours
Representation and encoding of text, graphic and audio information Broken down by hours
Logical foundations of computers, PC architecture and OS Broken down by hours
Level: Engineering (Grade 8 +)

Programming and OOP in Python

A deep dive into software development. Mastering data structures, Python syntax, the paradigm of object-oriented programming (OOP), working with libraries and databases.

Role of the AI Assistant in Year 2: Virtual partner for Code Review. Helps to find bugs, explains logical errors in the code, and suggests algorithm optimization.
Syntax & Data Structures Broken down by hours
OOP Concepts (Classes, objects) Broken down by hours
Application Development Broken down by hours
Level: Scientific

Machine Learning and Math for AI

Studying the mathematical foundations of AI: elements of linear algebra, probability theory, and mathematical analysis. Designing classical machine learning models and architectures of simple neural networks.

Role of the AI Assistant in Year 3: Mathematical trainer. Generates datasets for model training, visualizes multidimensional spaces and loss functions, explains complex formulas.
Calculus and Linear Algebra Broken down by hours
Algorithms of Classical ML Broken down by hours
Neural Networks Theory Broken down by hours
Level: Expert (Graduation)

Deep Learning, Data Science and AI Practice

Designing complex deep neural networks (Deep Learning), computer vision, natural language processing (NLP). Introduction to Data Science. End of the year — defense of the final practical work on AI implementation in the real sector.

Role of the AI Assistant in Year 4: Senior Technical Colleague (Senior Engineer). Assists in architectural planning of the thesis project, optimization of neural network weights, and model deployment.
Deep Neural Networks (Deep Learning) Broken down by hours
Big Data Analysis (Data Science) Broken down by hours
Defense of Graduation AI Project Final

Legal Status of the Institution

The Joint Extracurricular Educational Institution of Information and Communication Technologies "NAVOVAR" was established with the assistance of "Babilon-T" LLC. Its activities are fully regulated by the legislation of the Republic of Tajikistan.

State Standards

Full compliance with the Constitution of the RT, the Law of the RT "On Education" and other normative legal acts.

Multilingual Environment

The official name of the institution is fixed in the Charter in the state (Tajik), Russian, and English languages.

Extract from the Charter (General Provisions)


Paragraph 4: The institution is an independent legal entity, has separate property, an independent balance sheet, current accounts in banks in national and foreign currencies, a round seal, and a stamp with its name.

Paragraph 11: The institution has the right to organize and carry out free education for students and young specialists, as well as to launch specialized paid courses.

Building the NAVOVAR Team

We invite teachers and IT mentors to cooperate

Are you an expert in computer science, Python programming, Data Science, or artificial intelligence? Do you want to participate in training the new generation of technology leaders in Tajikistan using an advanced curriculum? Submit an application to our mentor pool.

In-person meeting of mentors: 18.07.2026, 09:00 — 1st passage of Mirzo Tursunzade Str., 8/1, Dushanbe city.

Contact Us

Start your path in high technologies together with NAVOVAR school.

  • Republic of Tajikistan, 734025, Dushanbe city, Rudaki Avenue, 57
  • info@navovar.tj
  • +992 (44) 600-11-11