Practical AILaajuus (2 cr)
Code: ED00CH29
Credits
2 op
Objective
After completing the course, the student understands the fundamentals of generative artificial intelligence (AI) and is able to use language and image models (Microsoft Bing) in everyday scenarios.
Content
Fundamentals of generative artificial intelligence (AI), language and image models (Microsoft Bing), ethical questions of artificial intelligence (AI).
Enrollment
01.01.2025 - 31.12.2025
Timing
01.01.2025 - 31.12.2025
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
0 - 10000
Teachers
- Anna Komulainen
Scheduling groups
- KAMK Avoin AMK 1 (Size: 1000. Open UAS: 1000.)
Groups
-
AAMKAvoin AMK
Small groups
- KAMK Open UAS 1
Objective
After completing the course, the student understands the fundamentals of generative artificial intelligence (AI) and is able to use language and image models (Microsoft Bing) in everyday scenarios.
Content
Fundamentals of generative artificial intelligence (AI), language and image models (Microsoft Bing), ethical questions of artificial intelligence (AI).
Location and time
The course can be completed independently according to your own schedule.
Teaching methods
The course is an independent online course.
Student workload
Approximately 54 hours (1cr=27h)
Further information
Degree students are advised to discuss first about completing the course with their tutor teacher.
The course is completed in https://edukamu.fi
For degree students, the course is automatically registered into PAKKI/Peppi system within short delay.
Evaluation scale
Hylätty/Hyväksytty
Enrollment
01.07.2024 - 31.12.2024
Timing
01.07.2024 - 31.12.2024
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Teaching languages
- English
Seats
0 - 10000
Objective
After completing the course, the student understands the fundamentals of generative artificial intelligence (AI) and is able to use language and image models (Microsoft Bing) in everyday scenarios.
Content
Fundamentals of generative artificial intelligence (AI), language and image models (Microsoft Bing), ethical questions of artificial intelligence (AI).
Location and time
The course can be completed independently according to your own schedule.
Teaching methods
The course is an independent online course.
Student workload
The course is worth 2 credits which equals to 54 hours of student work.
Further information
Degree students are advised to discuss first about completing the course with their tutor teacher.
The course is completed in https://edukamu.fi
For degree students, the course is automatically registered into PAKKI system within short delay.
Evaluation scale
Hylätty/Hyväksytty
Enrollment
22.03.2024 - 30.06.2024
Timing
01.01.2024 - 30.06.2024
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Unit
Yhteiset palvelut
Teaching languages
- English
Scheduling groups
- Avoin AMK 1 (Size: 999. Open UAS: 999.)
Groups
-
VAPVAL2024VAPVAL2024
-
AVOINAMK2024AVOINAMK2024
-
AAMKAvoin AMK
Small groups
- Open UAS 1
Objective
After completing the course, the student understands the fundamentals of generative artificial intelligence (AI) and is able to use language and image models (Microsoft Bing) in everyday scenarios.
Content
Fundamentals of generative artificial intelligence (AI), language and image models (Microsoft Bing), ethical questions of artificial intelligence (AI).
Location and time
The course can be completed independently according to your own schedule.
Teaching methods
The course is an independent online course. The course is completed on Edukamu -onlineplatform. Register for the course in https://cs.edukamu.fi/practical-ai
Student workload
Approximately 54 hours (1 credit = 27 hours)
Further information
KAMK degree students are advised to discuss first about completing the course with their tutor teacher.
For KAMK students the study credit is automatically registered into PAKKI system within short delay.
Evaluation scale
Hylätty/Hyväksytty
Assessment methods and criteria
You must complete every assignment in order to pass the course.
Enrollment
13.03.2023 - 31.12.2023
Timing
01.05.2023 - 31.12.2023
Number of ECTS credits allocated
2 op
Virtual portion
2 op
Mode of delivery
Distance learning
Unit
Yhteiset palvelut
Teaching languages
- English
Scheduling groups
- Avoin AMK 1 (Size: 999. Open UAS: 999.)
Groups
-
VAPVAL2024VAPVAL2024
-
EdukamuEdukamu
-
AVOINAMK2023AVOINAMK2023
-
AAMKAvoin AMK
-
VAPVAL2023VAPVAL2023
Small groups
- Open UAS 1
Objective
After completing the course, the student understands the fundamentals of generative artificial intelligence (AI) and is able to use language and image models (Microsoft Bing) in everyday scenarios.
Content
Fundamentals of generative artificial intelligence (AI), language and image models (Microsoft Bing), ethical questions of artificial intelligence (AI).
Materials
-
Teaching methods
A fully independent online course available all year round.
Assessment criteria, approved/failed
Pass/Fail.
To earn passed, all tasks must be completed successfully.
Evaluation scale
Hylätty/Hyväksytty