Artificial Intelligence for all

Summer School - On campus
July 29 - August 2, 2024

The course also can be arranged as the tailor-made programe for a group of minimum 10 students upon request (the dates and terms can be discuss individually)

Do you want to go deeper to machine learning? Join this interseasonal course!

Computer Modeling and Simulation for Engineers
Computer Modeling and Simulation for Engineers
  • Brief description

    Artificial Intelligence (AI) became one of the most popular and influential areas of technologies at the beginning of the XXI century.

    It passed a long way from the first steps (back in the 50s) to become an essential part of modern life. Today's immense computing power and processing too much data, strengthen the importance of the AI and its subfields. Nowadays, we are living in a world where AI plays an unexceptionally important role. To adapt today's fast and growing technology and development, any specialist in any area needs to know the essentials of such a comprehensive subject.

Duration: 1 week

ECTS credits: 2.0

Participation fee: 30 000 RUB

Deadline for registration: May 27, 2024

  • Cultural program

    We offer our students excursions to the most famous palaces, monuments, museums of St. Petersburg, as well as other cultural activities.

The course is an introduction for the “Machine Learning: Theory and Application” summer program. The participants will get a certificate with 6 ECTS credits, if they take two courses in a row.

  • Entrance requirements
    • Good command of English. All classes and extracurricular activities are carried out in English. Knowledge of the Russian language is not required;
    • Applicants are expected to have at least 1 year of University level studies.
  • Course description

    In this course, you will learn:

    • • Meaning of AI terminology (computer vision, data science, machine learning, deep learning etc.)
    • • Historical review of AI area.
    • • Review of modern AI applications and approaches.
    • • Disciplines in relation with AI - ML and Data science project workflow
    • • Review of Technical tools and platforms for AI
    • • Basic ideas behind Supervised and Unsupervised learning

The detailed course description for ECTS credits transfer at your home university:

AI for All Descriptor SS24.pdf

Professors and lecturers:

  • Ogul Unal - PhD, Institute of Computer Science and Technology, SPbPU; M-com Search Engine Optimization specialist”;
  • Nikita Kudryashov – PhD, Institute of Computer Science and Technology, SPbPU; Senior Data Scientist, Rubbles company.


Department of International Educational Programs