Opinto-opas

Tavoitteet

After completing the course, the student can:
- utilize suitable software development processes and tools when working with data engineering and AI

Sisältö

Software development practices
DevOps
MLOps
DataOps
Practical work with suitable tools

Oppimateriaalit

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.

Opetusmenetelmät

Contact learning, practical exercises, independent study

Tenttien ajankohdat ja uusintamahdollisuudet

Assignments returned throughout the course
Small project at the end of the course

Pedagogiset toimintatavat ja kestävä kehitys

Given examples and exercises support each topic studied during the lectures. Additional material in the form of tutorials and reliable information sources is provided.

Opiskelijan ajankäyttö ja kuormitus

Course introduction 2h
Exam or Final presentation 2h
Theory & Practice 20.01.2025 - 18.04.2025 12x3h

Sisällön jaksotus

The basic idea of DevOps, MLOps, DataOps

Viestintäkanava ja lisätietoja

Itslearning and contact classes are the main communication channels used on this course.

Arviointiasteikko

H-5