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Artificial Intelligence (in a Nutshell)

Artificial Intelligence (in a Nutshell)

Artificial Intelligence (in a Nutshell)

Dates & Timetable:

Application for this micro-credential is open until Thursday, 30th of October 2025

Date Time
Tuesday, 25/11/2025, 17:00-19:00 CET
 Keep in mind that CET means Central European Time, which refers to Croatia, France, Germany and Spain, in case of EU-CONEXUS.
If you live in Cyprus, Greece, Lithuania, Romania, the classes will start one hour later than indicated.
If you live in Ireland, the classes will start one hour earlier than indicated.
Thursday, 27/11/2025, 15:00-17:00 CET
Wednesday, 03/12/2025, 10:00-12:00 CET
Tuesday, 09/12/2025, 17:00-19:00 CET
Thursday, 11/12/2025, 15:00-17:00 CET

Description:

Unlock the potential of Artificial Intelligence – one of today’s most transformative technologies. This micro-credential blends classical logic-based approaches with cutting-edge machine learning and data-driven techniques. Explore problem solving, probabilistic reasoning, and large language models powering modern AI applications. With a focus on clarity and real-world relevance, the course builds a strong foundation in AI – empowering the learners to understand, evaluate, and apply intelligent technologies across diverse fields.

Learning Outcomes:

  1. Ability to analyse a given problem and justify the selection of an appropriate AI approach
  2. Design and implement AI workflows to solve problems in novel contexts”

Sustainable development goals:

  • SDG4: Quality education
  • SDG8: Decent work and economic growth
  • SDG9: Industry, innovation and infrastructure
  • SDG10: Reduced inequalities (via accessible/ethical AI and fairness topics)
  • SDG11: Sustainable cities and communities (smart urban/coastal focus)
  • SDG13: Climate action (AI for monitoring, adaptation, and mitigation use cases)

Register

Sector:

Smart

Thematic area:

Artificial intelligence in office work

HASHTAGS/KEY WORDS:

#IT #technologies #innovations #dataanalysis

Volume (ECTS):

1

Language:

English

Hard skills:

Understanding and applying fundamental AI methods

Soft skills:

Critical thinking about the opportunities and limitations of AI

Interdisciplinary communication about AI concepts

Study format:

Online

Study methods:

Lectures Individual work

Hours

Synchronous contact hours: 10
Asynchronous hours & self directed learning: 15

Entry requirements:

Bachelor student in one of the 9 partner universities of EU-CONEXUS, providing a proof of English proficiency of at least B2 level (certificate or online test).

Assessment:

Online quiz, mini case study

HOST UNIVERSITY:

University of Rostock, Germany

Stage of accreditation:

Internally accredited by the committee of the field of study according to the procedure in force at UROS

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