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Vår 2026
INF-3600 Generative Artificial Intelligence - 10 stp
The course is administrated by
Institutt for informatikk
Type of course
The course can be taken as a singular master's-level course.
Course overlap
INF-8606 Generative AI for health and life sciences 5 ects
Course contents
The course will cover Large Language Models (LLM), Generative AI for images, in addition to other modalities like sound. Applied aspects such as continuous integration in production systems will be given attention.
Some emphasis will be put on creating AI tools, which could lead to possible startup ideas.
Admission requirements
Higher Education Entrance Requirement + Bachelor's degree in Computer Science or similar education. The Bachelor degree must contain a specialization in Computer Science worth the equivalent of not less than 80 ECTS credits. Application code: 9371 - Singular courses at master's level.
Objective of the course
Knowledge - The student has ...
- Knowledge about principles, models and ethics of Generative AI in general.
- Knowledge about various tuning and augmentation mechanisms of LLMs.
- Knowledge about diffusion models for image generation, and how LLMs can be utilized for specialized industry use-cases.
- General insight into the transformer model and the principles of attention.
- Knowledge about the limitations of Generative AI such as bias and hallucinations.
Skills - The student ...
- Has the ability to fine-tune, customize and interact with LLMs.
- Has the ability to design systems for image generation based on diffusion and variational autoencoders.
- Can set up machine learning pipelines involving Generative AI and operationalize such systems.
General competence - The student has ...
- Knowledge about basic design of Generative AI experiments and operations.
- Competence about how to evaluate, implement and validate solutions (or systems/applications?) based on Generative AI.
Language of instruction
English
Teaching methods
The teaching will be conducted weekly through lectures and hands-on sessions organized in a joint effort between lecturers and teacher assistants in Tromsø and Bodø.