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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).

en
Enrollment

01.08.2024 - 31.12.2024

Timing

01.08.2024 - 31.12.2024

Number of ECTS credits allocated

2 op

Virtual portion

2 op

Mode of delivery

Distance learning

Teaching languages
  • English
  • Finnish

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

en
Enrollment

22.03.2024 - 31.07.2024

Timing

01.01.2024 - 31.07.2024

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
  • VAPVAL2024
    VAPVAL2024
  • AVOINAMK2024
    AVOINAMK2024
  • AAMK
    Avoin 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.

en
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
  • VAPVAL2024
    VAPVAL2024
  • Edukamu
    Edukamu
  • AVOINAMK2023
    AVOINAMK2023
  • AAMK
    Avoin AMK
  • VAPVAL2023
    VAPVAL2023
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