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Large Language Models (LLMs) for IT Practitioners

  • Number of credits 3 credits
  • Level Bachelor's level
  • Study form Web-based (online)
  • Starting Spring Term 2025

About the course

This course is intended for IT practitioners that would like an organized introduction to the concepts and tools underlying Large Language Models (LLMs). We cover Transformers, BERT and GPT at a high level and then explore few-shot approaches, RAG approaches using LangChain and Vector Databases and finally approaches to using LLMs to support dialogue over SQL databases. Some parts of the examination will let students develop solutions over their own industry-specific data.

Application and eligibility

Large Language Models (LLMs) for IT Practitioners, 3 credits

Det finns inga tidigare terminer för kursen Spring Term 2025 Det finns inga senare terminer för kursen

Starts

25 March 2025

Ends

8 June 2025

Study location

Umeå

Language

English

Type of studies

Daytime, 20%, Distance

Number of mandatory meetings

3

Number of other meetings

10

Outline for distance course

The course does not require physical presence. The course is taught via online Zoom lectures that are delivered live and also recorded. The examination consists of three oral recitations and a take-home exam.

Required Knowledge

The eligibility requirements include 6 ECTS introduction to programming and 6 ECTS data structures and algorithms as well as 30 ECTS in Mathematics or Computer Science. Proficiency in Python programming is strongly recommended.

Entry requirements

Selection

Academic credits

Application code

UMU-57500

Application

Application deadline was 15 October 2024. Please note: This second application round is intended only for EU/EEA/Swiss citizens. Submit a late application at Universityadmissions.se.

Application and tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK 900

Tuition fee, first instalment

SEK 7,140

Total fee

SEK 7,140

Contact us

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Course is given by
Department of Computing Science