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.
Large Language Models (LLMs) for IT Practitioners, 3 credits
Spring Term 2025
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.
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.
