Study Guide

Objective

Upon a successful completion of the course, participants will know the basics of cloud computing, can identify global infrastructure components of cloud computing and knows the basics of implementation and architecture of public cloud computing. Students will also learn the basics of machine learning and knows how machine learning is used to resolve problems.

Content

Cloud computing concepts
Overview of cloud infrastructure
Core cloud services
Basics of cloud architecture
Automatic Scaling and Monitoring
Basics of machine learning
Machine learning processes

Evaluation scale

0-5

Assessment criteria, satisfactory (1)

Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.

Assessment criteria, good (3)

Student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. Student is able to define the course concepts and models and is able to justify the analysis. Student is able to apply his/her knowledge in study and work situations. Student understands the importance of expertise in the field of information and communication technology and is able to analyze his/her own expertise.

Assessment criteria, excellent (5)

Student has achieved the objectives of the course with excellent marks. Student masters commendably the course subject area’s concepts and models. Student is able to make justified and fluent analysis and to present concrete development measures. Student is well prepared to apply his/her knowledge in study and work situations. Student is able to analyze expertise in the information and communication technology sector and the development of his/her own expertise.

Assessment criteria, approved/failed

Student has achieved the course objectives. Student will be able to identify, define and use the course subject area’s concepts and models. Student understands the criteria and principles of the expertise development.