Software Development OperationsLaajuus (5 cr)
Code: TT00CN78
Credits
5 op
Objective
After completing the course, the student can:
- utilize suitable software development processes and tools when working with data engineering and AI
Content
Software development practices
DevOps
MLOps
DataOps
Practical work with suitable tools
Enrollment
04.12.2024 - 13.01.2025
Timing
13.01.2025 - 30.04.2025
Number of ECTS credits allocated
5 op
Mode of delivery
Contact teaching
Unit
Engineering and Business
Campus
Kupittaa Campus
Teaching languages
- English
Seats
0 - 40
Degree programmes
- Degree Programme in Information and Communication Technology
- Degree Programme in Business Information Technology
Teachers
- Jussi Salmi
Groups
-
PTIETS22deaiPTIETS22 Data Engineering and Artificial Intelligence
-
PTIVIS22IData Engineering and AI
Objective
After completing the course, the student can:
- utilize suitable software development processes and tools when working with data engineering and AI
Content
Software development practices
DevOps
MLOps
DataOps
Practical work with suitable tools
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.
Teaching methods
Contact learning, practical exercises, independent study
Exam schedules
Assignments returned throughout the course
Small project at the end of the course
International connections
Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.
Student workload
Contact hours 16 h
Inpendent studying 119h, including:
- Studying the course material
- Completing assignments
- Project
Content scheduling
The basic idea of DevOps, MLOps, DataOps
Further information
Itslearning and contact classes are the main communication channels used on this course.
Evaluation scale
H-5