AI Content Production in Service Business (5cr)
Code
General information
- Enrollment
- 17.11.2025 - 08.02.2026
- Registration for the implementation has ended.
- Timing
- 12.01.2026 - 13.03.2026
- Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Face-to-face
- Unit
- School of Business
- Campus
- Main Campus
- Teaching languages
- English
- Seats
- 0 - 35
- Degree programmes
- Bachelor's Degree Programme in Service Business
- Teachers
- Antony Smal
- Groups
-
ZJAMPT25S1Avoin AMK, marata, amk-väylä, palveluliiketoiminta, päivätoteutus
-
MTM26VKBachelor's Degree Programme in Tourism Management,vaihto-opiskelu/Exchange studies
-
MPT26VKPalveluliiketoiminnan tutkinto-ohjelma (AMK), vaihto-opiskelu/Exchange studies
-
MPT25S1Palveluliiketoiminnan tutkinto-ohjelma (AMK)
- Course
- MZ00CM26
Realization has 7 reservations. Total duration of reservations is 17 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 13.01.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 20.01.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 27.01.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 10.02.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 17.02.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 03.03.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
|
Tue 10.03.2026 time 13:00 - 15:30 (2 h 30 min) |
AI Content Production in Service Business MZ00CM26-3002 |
R35BP07.2
Monimuototila
R35BP07.1 Monimuototila |
Evaluation methods and criteria
Sufficient 1: You have base knowledge of what an artificial intelligence is. You can recognize different AI subcategories. You have a hard time reflecting your know-how.
Satisfactory 2: You have knowledge of artificial intelligence, and you recognize how AI could help you in theory in a real-life project. Your reflective skills on your know-how are limited. You recognize ethics in AI usage.
Good 3: You have knowledge of artificial intelligence, and you can apply LLM to a real-life project. You can reflect your know-how realistically. You understand ethics in AI usage.
Very good 4: You have an understanding of what artificial intelligence is and how to implement it in processes in theory. You can analytically solve problems and think about the ethics of AI usage. You can analytically discuss your know-how.
Excellent 5: You have a great understanding of what artificial intelligence is and how to implement it in processes in theory. You can use LLM in real real-life project. You can question the presented information and give valid options. You can analytically solve problems and think about the ethics of AI usage. You can analytically discuss your know-how.
Evaluation scale
0-5
Objective
The course lets you in on how to improve on your skills when utilising AI tools to create AI generated content like photographic imagery, visuals, sound clips, music, narrative seeds, texts etc. for games. After completing this course, you will be prepared to work with a selection of AI tools in any service business project. You will be further introduced to most important tools and techniques.
Course competences
The learning objectives of the course
The student who completes the course is able to utilise various AI tools to create content like assets, narrative scripts etc. in service business projects. The student understands the principles on how to best utilise tools for the task at hand. The student is able to work in team to design and produce technically valid assets.
Content
Evolution of AI tools, what tools to utilise and how. Tools for visual, textual and auditive content. Ethics and legal issues in AI generated content.
Teaching methods
The course uses the flipped classroom method. Lectures provide students with additional knowledge on the topic and put theory into practice.
Exam schedules
Course doesn't include an exam.
Student workload
The workload for the course is 27 hours per credit. There are 17.5 hours of lectures.
Assessment criteria, satisfactory (1)
Sufficient (1): You understand the nature of AI content creation and technical requirements. You can work in service business project to produce and design technically valid content.
Satisfactory (2): You have knowledge in the AI content creation and technical requirements. You understand different tools and techniques. You can work in a service business project and design and produce technically valid content for different purposes.
Assessment criteria, good (3)
Good (3): You can make design decisions with AI content creation and technical requirements. You know how to use tools and techniques. You can work in a service business project and design and produce assets for different purposes based on your own design decisions. You understand the ethical and legal requirements for the use of AI generated content.
Very good (4): You understand working methods, tools and technical requirements of AI content creation well. You know how to pick the most effective tools and methods for the task at hand. You can work in a service business project and design and produce assets for different purposes. You understand the ethical and legal requirements for the use of AI generated content.
Assessment criteria, excellent (5)
Excellent (5): You can analytically discuss about the working methods, tools and technical requirements in service business and AI generated content production. You understand the ethical and legal requirements for the use of AI generated content. You can question the presented information and give valid options. You can evaluate the processes and improve on working methods and technical details. You can find novel methods and solutions for content production with AI when working in a service business project.
Further information
We use external AI applications for which you need to create your own accounts. You can delete the accounts once the course has ended.