Introduction to Generative AI and its Applications
Course, Bachelor's level, 1TG334
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Visby, 33%, On-campus, English Only available as part of a programme
- Location
- Visby
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
General entry requirements
- Application deadline
- 15 April 2026
- Application code
- UU-14601
Admitted or on the waiting list?
Autumn 2026 Autumn 2026, Visby, 33%, On-campus, English For exchange students
- Location
- Visby
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
General entry requirements
Admitted or on the waiting list?
Autumn 2026 Autumn 2026, Flexible, 33%, Distance learning, Swedish Only available as part of a programme
- Location
- Flexible
- Pace of study
- 33%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 2 November 2026–17 January 2027
- Language of instruction
- Swedish
- Entry requirements
-
General entry requirements
- Application deadline
- 15 April 2026
- Application code
- UU-14616
Admitted or on the waiting list?
- Registration period
- 5 October 2026–1 November 2026
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Flexible, 33%, Distance learning, Swedish
- Location
- Flexible
- Pace of study
- 33%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 18 January 2027–21 March 2027
- Language of instruction
- Swedish
- Entry requirements
-
General entry requirements
- Selection
-
Final school grades (66%) - Swedish Scholastic Aptitude Test (34%)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,500
- Total tuition fee: SEK 12,500
- Application deadline
- 15 October 2026
- Application code
- UU-64605
Admitted or on the waiting list?
- Registration period
- 21 December 2026–11 January 2027
- Information on registration from the department
Spring 2027 Spring 2027, Flexible, 33%, Distance learning, Swedish
- Location
- Flexible
- Pace of study
- 33%
- Teaching form
- Distance learning
- Number of mandatory on-campus meetings
- 0
- Number of optional on-campus meetings
- 0
- Instructional time
- Mixed
- Study period
- 22 March 2027–6 June 2027
- Language of instruction
- Swedish
- Entry requirements
-
General entry requirements
- Selection
-
Final school grades (66%) - Swedish Scholastic Aptitude Test (34%)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 12,500
- Total tuition fee: SEK 12,500
- Application deadline
- 15 October 2026
- Application code
- UU-64697
Admitted or on the waiting list?
- Registration period
- 22 February 2027–15 March 2027
- Information on registration from the department
About the course
Are you curious about artificial intelligence and want to learn how generative AI can be used to create text, images, and other media? This course provides a fundamental understanding of various types of AI, including generative AI, neural networks, and machine learning. You will learn to use generative AI tools to create content based on well-designed prompts and discuss the ethical and social implications of AI usage.
The course covers basic concepts and functionalities of different types of AI, with a focus on generative AI and its applications. You will be introduced to various tools and user-friendly interfaces that can enhance efficiency and accessibility in both professional and academic settings. Teaching methods include lectures, workshops, and seminars, giving you the opportunity to apply your knowledge practically and reflect on AI's impact on society.
Reading list
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