MLOps (5 cr)
Code: MS00CN45-3001
General information
- Enrollment
- 02.12.2023 - 15.01.2024
- Registration for the implementation has ended.
- Timing
- 15.01.2024 - 30.04.2024
- Implementation has ended.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Engineering and Business
- Teaching languages
- Finnish
- English
- Degree programmes
- Master of Engineering, Data Engineering and AI
- Master of Business Administration, Data Engineering and AI
- Teachers
- Tommi Tuomola
- Course
- MS00CN45
Realization has 1 reservations. Total duration of reservations is 3 h 30 min.
| Time | Topic | Location |
|---|---|---|
|
Tue 16.04.2024 time 12:30 - 16:00 (3 h 30 min) |
MLOps MS00CN45-3001 |
EDU_1090
Ringsberg 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
Evaluation methods and criteria
Assignments returned throughout the course
Small project at the end of the course