PRG.AI MINOR

Top AI courses from CTU and CUNI in a joint programme

Launched in 2019, prg.ai Minor is designed for tech-savvy and motivated students who aim for in-depth interdisciplinary understanding of artificial intelligence and practical skills to apply it in various areas of interest.

Apart from continuously updated courses offered by some of the best teachers from two top Prague universities, participants get ample opportunity to learn from and network with fellow students and key academic and industry players of the Prague AI ecosystem. The programme also incentivises teachers to build tight collaborations across faculties and to improve and scale up their courses.

Courses selected from:

WHAT TO DO NEXT

  • CUNI, FSV & MFF

    Winter term starts on

    26th September 2022

  • CTU, FIT & FEE

    Winter term starts on

    19th September 2022

HOW PRG.AI MINOR WORKS

prg.ai Minor brings together a carefully selected set of existing bachelor or master courses. In other words, the content, knowledge and expertise have already been amassed and shared at Prague universities.

To successfully complete prg.ai Minor, you are required to:

  • Apply and be accepted.
  • Choose 4 out of 6 offered thematic blocks (CoreML and CoreSYMB are compulsory).
  • Pass at least one course of your choice in each of the 4 blocks. The selected courses must come from 3 out of 4 participating faculties.
  • Provide a confirmation of successful completion of your regular degree including a confirmation of passing prg.ai Minor courses.

SELECTION CRITERIA

There are four guarantors representing each of the participating faculties. Each is responsible for the selection of applicants from their faculty and evaluates them on the basis of:

  • Grades from home faculty study programme compulsory courses
  • Extra-curricular activities (these can also serve as a possible compensation of lower grades)
  • Personal and professional motivation for enrolling into prg.ai Minor

EXPLORE THE BLOCKS AND COURSES

  • FEE CTU

    prof. Ing. Tomáš Svoboda, Ph.D.

    Chair of the Department of Cybernetics

    "To give students a diversity of research and problem challenges, teachers and also fellow students is a key to their future success."

  • FIT CTU

    Ing. Karel Klouda, Ph.D.

    Head of Department of Applied Mathematics

    "prg.ai Minor is a unique example of interdisciplinary cooperation among academic institutions and a great occasion to meet people with different backgrounds."

  • MFF CUNI

    doc. RNDr. Ondřej Bojar, Ph.D.

    Associate Professor at ÚFAL

    "Apart from exposing passionate students to a great diversity of topics and fellows, I'm also excited about the networking and collaboration opportunities among the faculties and educators."

  • FSV CUNI

    prof. PhDr. Ladislav Krištoufek, Ph.D.

    Vice-Rector for Research

    "Interdisciplinarity is the key - whichever background you come from - as is networking across fields."

  • prg.ai

    Mgr. Julie Kovaříková

    Coordination & Project Management

    "Education is one of prg.ai's main priorities and also my own. I am thrilled to work with promising students while they embark on the best AI journey top Prague universities currently offer."

FAQ

STILL SOME QUESTIONS?

Contact us at minor@prg.ai and we will get back to you shortly.

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