Introduction to AI data privacy, security and ethics (2cr)

Code

General information

Enrollment: 06.02.2026 - 31.12.2028; Registration for the implementation has begun.

Timing: 06.02.2026 - 31.12.2028; Implementation is running.

Number of ECTS credits allocated: 2 cr

Institution: Metropolia University of Applied Sciences, Karaportti 2

Teaching languages: English

Seats: 0 - 500

Course: C-10065-TX00GW30

Unfortunately, no reservations were found for the realization Introduction to AI data privacy, security and ethics C-10065-TX00GW30-3001. It's possible that the reservations have not yet been published or that the realization is intended to be completed independently.

Evaluation methods and criteria

Pass after all of eight (8) Chapters, the Final test and a learning diary have been done.

Evaluation scale

Pass/Fail

Content scheduling

All of eight (8) Chapters must be completed in order and after that the final exam. Learning diary can be done during the course.

Content

1 Introduction to AI data privacy, security and ethics 2 Today's demand for data expertise 3 Basic terminology and concepts 4 Introduction to data privacy when creating AI solutions 5 Introduction to data security when creating AI solutions 6 Building ethical AI solutions 7 Case Saidot - Data governance and AI 8 About the final test 9 Final Test 10 Learning diary

Location and time

Course environment is Metropolia's Viope World and course can be done in own pace.

Materials

Can be find via course environment.

Teaching methods

Course is 100% online (self-study) course which can be done in own pace. The course contains eight (8) Chapters that must be completed in order and the final exam. Passing the course also requires keeping a learning diary.ning diary about the course.

Employer connections

N/A

Exam schedules