Cloud-Based Machine Learning (5cr)
Code: R504D120-3003
General information
- Enrollment
- 02.12.2025 - 31.12.2025
- Registration for the implementation has begun.
- Timing
- 01.01.2026 - 31.05.2026
- The implementation has not yet started.
- Number of ECTS credits allocated
- 5 cr
- Local portion
- 5 cr
- Mode of delivery
- Contact learning
- Unit
- Bachelor of Engineering, Information Technology
- Teaching languages
- Finnish
- Teachers
- Tieto- ja viestintätekniikan koulutus AMK
- Teacher in charge
- Juha Petäjäjärvi
- Groups
-
R54D24SBachelor of Engineering, Machine Learning and Data Engineering (full time studies), 2024
- Course
- R504D120
Evaluation scale
H-5
Objective
The student is familiar with common machine learning models supported by online platforms for machine learning. The student can create custom machine learning applications in the cloud without having to write complex code.
Content
Machine learning models supported by the largest cloud providers: binary prediction, category prediction and value prediction.
Building, training and deploying machine learning model in the cloud:
- Preparing the data
- Training the model to learn from the data
- Deploying the model
- Evaluate the model's performance
Assessment criteria, satisfactory (1)
The student can implement a machine learning application in the cloud.
Assessment criteria, good (3)
The student can implement machine learning applications in the cloud using different models.
Assessment criteria, excellent (5)
The student can implement machine learning applications in the cloud using different models and cloud machine learning services.