MLOps (5 cr)
Code: MS00CN45-3002
General information
- Enrollment
-
02.12.2024 - 13.01.2025
Registration for the implementation has ended.
- Timing
-
01.01.2025 - 31.07.2025
Implementation is running.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Campus
- Kupittaa Campus
- Teaching languages
- Finnish
- English
- Seats
- 10 - 30
- Degree programmes
- Master of Engineering, Data Engineering and AI
- Master of Business Administration, Data Engineering and AI
- Teachers
- Jussi Salmi
- Course
- MS00CN45
Realization has 4 reservations. Total duration of reservations is 13 h 0 min.
| Time | Topic | Location |
|---|---|---|
|
Mon 13.01.2025 time 08:30 - 11:45 (3 h 15 min) |
MLOps MS00CN45-3002 |
EDU_2027
Frans muunto byod
|
|
Mon 10.02.2025 time 08:30 - 11:45 (3 h 15 min) |
MLOps MS00CN45-3002 |
EDU_1089
Maskulin esitystila byod
|
|
Mon 10.03.2025 time 08:30 - 11:45 (3 h 15 min) |
MLOps MS00CN45-3002 |
EDU_1089
Maskulin esitystila byod
|
|
Mon 14.04.2025 time 08:30 - 11:45 (3 h 15 min) |
MLOps MS00CN45-3002 |
EDU_1089
Maskulin esitystila byod
|
Evaluation scale
H-5
Content scheduling
After completing the course, the students can
- describe and understand how MLOps projects operate
Process and tools for Machine Learning Engineering for Production (MLOps)
Scheduling:Chosen topics from MLops, Dataops and Devops for artificial intelligence and data engineering students.
Objective
After completing the course, the students can
- describe and understand how MLOps projects operate
Content
- Process and tools for Machine Learning Engineering for Production (MLOps)
Materials
Teacher provided lecture material
Supporting public online material
Teacher provided virtual machines
All needed material (or at least a link to them) will be available in itslearning.
Itslearning and contact classes are the main communication channels used on this course.
The student is required to have a computer capable of running a simple Ubuntu virtual machine.
Teaching methods
Contact learning, practical assignments, independent study
Student workload
Contact hours 16 h
Inpendent studying 119h, including:
- Studying the course material
- Completing assignments
- Project