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Cloud Services (5 op)

Toteutuksen tunnus: TT00CN73-3001

Toteutuksen perustiedot


Ilmoittautumisaika
24.07.2024 - 09.09.2024
Ilmoittautuminen toteutukselle on päättynyt.
Ajoitus
02.09.2024 - 15.12.2024
Toteutus on päättynyt.
Opintopistemäärä
5 op
Lähiosuus
5 op
Toteutustapa
Lähiopetus
Yksikkö
Tekniikka ja liiketoiminta
Toimipiste
Kupittaan kampus
Opetuskielet
englanti
Paikat
10 - 40
Koulutus
Tietojenkäsittelyn koulutus
Tieto- ja viestintätekniikan koulutus
Opettajat
Ali Khan
Vastuuopettaja
Ali Khan
Ryhmät
PTIETS22deai
PTIETS22 Datatekniikka ja Tekoäly
PTIVIS22I
Data Engineering and AI
Opintojakso
TT00CN73

Toteutuksella on 26 opetustapahtumaa joiden yhteenlaskettu kesto on 42 t 0 min.

Aika Aihe Tila
Ma 02.09.2024 klo 11:00 - 13:00
(2 t 0 min)
Theory and practice, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
LEM_A174 IT-oppimistila Tiera
Ma 09.09.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 09.09.2024 klo 10:00 - 12:00
(2 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ke 11.09.2024 klo 12:00 - 14:00
(2 t 0 min)
Optional - AWS Support, Cloud Services
ICT_B1039 IT telakka
Ma 16.09.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1032_Beta BETA
Ma 16.09.2024 klo 10:00 - 12:00
(2 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ke 18.09.2024 klo 12:00 - 14:00
(2 t 0 min)
Optional - AWS Support
ICT_B1039 IT telakka
Ke 25.09.2024 klo 12:00 - 13:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
EDU_2004 Johannes muunto byod
Ke 25.09.2024 klo 13:00 - 14:00
(1 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
LEM_A177 IT-oppimistila Saccharomyces
Ma 30.09.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 30.09.2024 klo 10:00 - 12:00
(2 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ma 07.10.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1032_Beta BETA
Ma 07.10.2024 klo 10:00 - 12:00
(2 t 0 min)
AWS Support, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ke 09.10.2024 klo 12:00 - 14:00
(2 t 0 min)
Optional - AWS Support
ICT_C1032 Demotila
Ma 21.10.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1032_Beta BETA
Ma 21.10.2024 klo 10:00 - 12:00
(2 t 0 min)
AWS Support (Optional), Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ma 28.10.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
EDU_1001 Dromberg Esitystila byod
Ma 28.10.2024 klo 10:00 - 12:00
(2 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ma 04.11.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 04.11.2024 klo 10:00 - 12:00
(2 t 0 min)
Project Kickoff session, Cloud Services
ICT_B1026_Gamma GAMMA
Ma 11.11.2024 klo 09:00 - 10:00
(1 t 0 min)
Theory, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 11.11.2024 klo 10:00 - 12:00
(2 t 0 min)
Practice 1, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_C2027 IT telakka
Ma 18.11.2024 klo 09:00 - 10:00
(1 t 0 min)
Demo, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 18.11.2024 klo 10:00 - 12:00
(2 t 0 min)
Demo, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1026_Gamma GAMMA
Ma 25.11.2024 klo 10:00 - 13:00
(3 t 0 min)
Final Demo, Cloud Services TT00CN73-3001, Cloud Services TT00CD87-3002
ICT_B1041_Omega OMEGA
Ma 02.12.2024 klo 10:00 - 12:00
(2 t 0 min)
AWS Marking, Cloud Service (Optional)
ICT_C2027 IT telakka
Muutokset varauksiin voivat olla mahdollisia.

Arviointiasteikko

H-5

Sisällön jaksotus

The course content is divided into four learning objectives(CLOs):

CLO1 Analyze classic data centers and cloud data center solutions.

Introduction to Cloud Computing
1.1 Understand the limitations of traditional computing and evolution of cloud computing
1.2 Understand the concepts of Cluster, Grid and Cloud Computing, its benefits and challenges

Cloud Computing Models and Services
1.3 Explore the standard cloud model, cloud deployment and service delivery models
1.4 Understand service abstraction

Resource Virtualization and Pooling
1.5 Implement physical computing resources virtualization
1.6 Implement machine, server level and operating system virtualization
1.7 Understand resource pooling, sharing and resource provisioning

CLO2 Design a cloud data center based on specific technical requirements.

Resource Virtualization and Pooling
2.1 Implement physical computing resources virtualization
2.2 Implement machine, server level and operating system virtualization

Scaling and Capacity Planning
2.3 Understand the foundation of cloud scaling
2.4 Explore scaling strategies and implement scalable applications
2.5 Explore approaches for capacity planning

Load Balancing
2.6 Explore the goals and categories of load balancing. Explore parameters for consideration.

File System and Storage
2.7 Understand the need for high performance processing and Big Data
2.8 Explore storage deployment models and differentiate various storage types

CLO3 Discuss the need for security, reliability and legal compliance of a cloud data center.
Database Technologies
3.1 Explore database models
3.2 Implement relational and non-relational database as a service

Cloud Computing Security
3.3 Understand the threats to cloud security
3.5 Explore and develop a cloud security model
3.6 Understand Trusted Cloud Computing

Privacy and Compliance
3.7 Explore key privacy concerns in the cloud
3.8 Differentiate security vs. privacy
3.9 Develop a privacy policy

CLO4 Design strategies for the implementation of effective cloud solutions to support business requirements.

Content Delivery Model
4.1 Understand and explore content delivery network models in the cloud

Portability and Interoperability
4.2 Explore portability and interoperability scenarios
4.3 Understand machine imaging
4.4 Differentiate virtual machine and virtual appliance

Cloud Management
4.5 Understand cloud service life cycle
4.6 Understand asset management in the cloud
4.7 Explore cloud service management
4.8 Develop disaster recovery strategies

SELF PACED / FLIP CLASSROOM
In addition to the above theoretical content the students will learn and practice the cloud concepts in AWS academy. The AWS academy online course covers the following modules.

Module 1 - Global Infrastructure
Module 2 - Structures of the Cloud
Module 3 - AWS Console
Module 4 - Virtual Servers
Module 5 - Content Delivery
Module 6 - Virtual Storage
Module 7 - Security 1
Module 8 - Security 2
Module 9 - Monitoring the Cloud
Module 10: Databases
Module 11 - Load Balancers and Caching
Module 12 - Elastic Beanstalk and Cloud Formation
Module 13 - Emerging Technologies in the Cloud
Module 14 - Billing and Support
Module 15 - Other Cloud Features
Module 16 - Optimizing the Cloud with the AWS CDK

Tavoitteet

After completing the course, the student can:
- Describe what Cloud Services are, how they affect business and which new opportunities it may enable.
- Describe use cases and benefits of cloud services,
- Describe SAAS, PAAS, IAAS.
- Develop a solution that utilizes cloud services.

Sisältö

Introduction to cloud services
Software as a service (SAAS)
Platform as a service (PAAS)
Infrastructure as a service (IAAS)
Virtual machines and containers
Security of cloud services
Project work

Oppimateriaalit

Task-specific material to be announced separately in Its Learning and in AWS academy.

Opetusmenetelmät

- Weekly face-to-face meetings with lecture teaching and small group work
- Learning by doing and experimenting (exercise tasks, project work, information search)
- Small group work and peer learning
- Self-study material
- Teacher guidance and examples

Tenttien ajankohdat ja uusintamahdollisuudet

No exam, and retake not possible after evaluation grade is published.

Kansainvälisyys

FLIP classrooms and learning by doing

Toteutuksen valinnaiset suoritustavat

Not possible

Opiskelijan ajankäyttö ja kuormitus

Contact hours
- Course introduction: 3 hours
- 12 times 3h theory and AWS support: 12 x 3h = 36 hours
- 16 times AWS Academy self paced sessions: 16 x 1h = 16 hours

Home work:
- Working with assignments: approximately 80 hours

Total: approximately 135 hours

Lisätiedot

Course material and assignments in Its Learning and AWS academy.

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