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Örebro University
Computer Science, Second Cycle, Large Language Models for Industry
This course explores Large Language Models (LLMs) as a pivotal technology that can remodel how industries operate, communicate, and innovate. The course covers topics spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), while emphasizing the use of LLMs to solve indust…
- Higher education
- Information unavailable
- 2 November 2026
- Örebro
- Information unavailable
- 25 %
Overview
This course explores Large Language Models (LLMs) as a pivotal technology that can remodel how industries operate, communicate, and innovate. The course covers topics spanning from traditional Natural Language Processing (NLP) to Natural Language Understanding (NLU), while emphasizing the use of LLMs to solve industry-specific challenges with sustainability in mind. Through practical examples and exercises, participants gain the skills to apply LLMs to real-world problems while promoting sustainable development.
Admission scores
Entry requirements
At least 180 credits including 15 credits programming as well as qualifications corresponding to the course "English 5"/"English level 1" from the Swedish Upper Secondary School.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2026-11-02
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.oru.dt728a.h5337.20262
- Last checked
- 2026-09-23T10:38:51.696898+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.oru.dt728a.h5337.20262
- Offering identity in the source
- e.uoh.oru.dt728a.h5337.20262
- Education-form source code
- HS
- Education code in the source
- DT728A
- Change time according to the source
- 2026-03-13T08:53:42
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.