ICT-infrastructure in the cloud (4 cr)

Evaluation scale

0-5

Content scheduling

Lecture 1 - Modules 1-3
Lecture 2 - Modules 3-4
Lecture 3 - Modules 4-5
Lecture 4 - Modules 5-6
Lecture 5 - Modules 6-7
Lecture 6 - Modules 7-8
Lecture 7 - Modules 9-10
Lecture 8 - Modules 10-11
Lecture 9 - Modules 11-13 (Guided lab: Breaking a monolith independent studying)
Lecture 10- Modules 13-15 (Guided lab Guided Lab 2: Implementing a Serverless Architecture on AWS in class, Challenge lab homework)
Lecture 11- Modules 14, Guided lab 14, Final assignment and information about the exam
Lecture 12 - Exam

Objective

Cloud services offer the ability to describe and build infrastructure as code. During the course, you will learn how to build your own virtual data center, its subnets and other resources in cloud services. At the same time, the you will understand the benefits of describing cloud infrastructure as code from the point of operation, duplication and maintenance in cloud computing environments.The student understands how cloud infrastructure works, how infrastructure and services are described as code, and what benefits infrastructure as code (IaC) offers in DevOps-activity.

Course competencies
- Web development competence
- Systems and methods in ICT
- Learning and information management competence

Content

- Virtual data centers and networks
- Infrastructure as code, tools to describe IaC
- Duplication of ICT infrastructure

Location and time

Spring 2023. Weeks 2-14 (3,5h per lecture)

Materials

Course material written by the teacher as well as selected online resources. AWS Academy materials.

Teaching methods

- Lessons (in-class) (For Open UAS a zoom-link will be provided for the lectures, Open UAS students have the possibility to complete studies remotely)
- Exercises
- Group exercises
- Theory tests
- During each lecture a lab will completed concerning each module and the subject of the modules topic. Students continue working with the challenge labs independently after each module as home assignment. Challenge lab retroperspective will be held in the beginning of each lecture.

Exam schedules

The final exam (digital exam) is held at the end of the course. Renewal opportunities will be announced at the end of the course.

Completion alternatives

You have the right to apply for recognition of your studies if you have prior learning (e.g. university studies completed elsewhere) that can be accredited towards the degree you are currently completing.

The recognition of prior learning is possible in three primary ways: accreditation (replacement or inclusion), recognition of informal learning and studification. More precise info: JAMK Degree Regulations, section 17.

Student workload

Approximately 108 hours.

Assessment criteria, satisfactory (1)

Sufficient 1
You have basic knowledge in the area of AI & Machine learning services in the cloud. You know the components and terms of data preprocessing cloud services and what they mean.
Satisfactory 2
You have knowledge in the area of ICT-infrastructure in the cloud. You know the components terms of cloud ICT-infrastructure services and what they mean.

Assessment criteria, good (3)

Good 3
You understand the concepts of of ICT-infrastructure services in the cloud and can apply the gained knowledge in a real-life ICT-infrastructure cloud based needs.
Very good 4
You understand the concepts of ICT-infrastructure services in the cloud and can apply the gained knowledge in a real-life ICT-infrastructure learning scenarios and needs. You have expanded your knowledge independently during the course.

Assessment criteria, excellent (5)

Excellent 5
In addition to previous requirements you can analytically discuss about the concepts in ICT-infrastructure services in the cloud and present and defend (based on knowledge and evidence) your opinions. You can question the presented information and give valid options.

Qualifications

-Computing Infrastructure- course
-Web Development tools- or Cloud Services-course
-Basic level scripting or programming experience

Further information

To complete the studies it is recommended to understand the basics of cloud services from: Amazon Web Services (recommended) or Microsoft Azure or Google Cloud Platform and from the concepts of the elasticity, scalability an high availability of cloud services.

Final grade will be assessed how the student has progressed with the studies, staying on schedule, following instructions etc.

Grading:
Exam 60% of the grade
Final assignment 20% of the grade
"Guided lab" and "Challenge Lab" labs and "Knowledge Check" assignments 20% of the grade.