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Registration open

from 10 April to 16 May 2025

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Deep Tech Microcredentials Short courses on the Application of Artificial Intelligence

If you are looking for a brief and practical introduction to AI applications in Medical Science and Engineering, Data Science and Engineering, and Material Science and Engineering, these fully online, self-paced courses are perfect for you. The courses are funded by the EIT Deep Tech Talent initiative of the European Institute of Innovation and Technology (EIT) and are available as part of a pilot project.

Registration open

from 10 April to 16 May 2025

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General Course Information

Start Date

16 June 2025

Registration Deadline

16 May 2025

Duration

25 hours of self-paced study, accessible anytime from 16 June to 15 September 2025

Methodology

The course combines concise video lectures, practical hands-on exercises, and an online assessment. Learning is self-paced with no individual support. An optional one-hour live feedback session with all participants is offered once during the course.

ECTS Credits

1 per course

Cost

Free of charge

Certificate

Issued upon passing online test (pass/fail, no grading)

Language

English

Format

Online

Target Group

Students enrolled at European universities with an interest in AI applications

Admission Requirements
  • Proof of enrollment at a European university
  • Proof of English proficiency at least of B2 level
  • No prior AI knowledge required
  • Basic familiarity with technology is beneficial
  • Elementary coding skills are helpful but not mandatory
Course Options

Participants may choose to enroll in one, two, or all three of the following courses:

  • AI Applications in Medical Science and Engineering
    Content Highlights: Deep learning for medical image analysis, clinical decision-making, telemedicine applications, patient recommendation systems, conversational systems, AI diagnostics.
  • AI Applications in Data Science and Engineering
    Content Highlights: Data processing with AI, predictive analytics, data-driven decision-making, pattern recognition, model evaluation.
  • AI Applications in Material Science and Engineering
    Content Highlights: AI-driven material property prediction, process optimization, quality control, and material defect analysis.
Registration

To register, please complete the registration form during the registration period (10 April to 16 May 2025). You can select one, two, or all three courses and need to upload a proof of enrollment at a European university and a proof of English proficiency at B2 level or higher. Within two weeks after registration deadline, you will receive a confirmation email from the Warsaw School of Computer Science, including your access credentials to the Moodle platform.

Course Providers

Content Provider: HSLU developed all course content, including videos, exercises, and assessments, ensuring high-quality self-study materials. HSLU also facilitates registration and processes participant data.
Platform Host: Warsaw School of Computer Science hosts the courses on its Moodle platform, maintaining technical infrastructure and granting access to enrolled participants.

Quick Links

  • Register here
  • All course descriptions 

Prof. Dr. Stephen Wittkopf

Project manager

+41 41 349 36 25

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Prof. Dr. Marc Pouly

Co-Head Applied AI Research Lab

+41 41 757 68 25

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Prof. Dr. Umberto Michelucci

Subject area manager for continuing education Applied Data Intelligence

+41 41 349 31 44

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Priska Büeler

Lecturer

+41 41 349 39 21

E-Mail anzeigen

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