Google Cloud Computing Fundamentals (6 ECTS)

Objective

Google Cloud Platform (GCP), offered by Google (company), is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products.

Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments.

In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally available in November 2011. Since the announcement of App Engine, Google added multiple cloud services to the platform.

This course enables learners to develop technical proficiency in cloud computing and launch or pivot to careers in a cloud-first world. It’s an ideal foundation for diverse career paths including those in IT infrastructure, data analytics, cloud-native application development, and business.

This course is designed for students with little to no experience in cloud computing and is an ideal foundation for diverse career paths. By the end of the series of courses, learners will be able to articulate these concepts and demonstrate some hands-on skills.

The course starts with an overview of cloud computing and dives deeper into two areas - cloud computing infrastructure, and big data and machine learning.
By the end of the course, learners will be able to articulate concepts around cloud computing, big data, and machine learning and demonstrate some hands-on skills. They will be able to get onto the Enterprise-level Google Cloud content available in Coursera to continue learning

Sign up to get access to the course on Qwiklabs and enroll to get started and learn Google Cloud using the real thing – no simulations.

Content

This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

Course Objectives
- Consider the entire range of Google Cloud Platform technologies in their plans
- Learn methods to develop, implement, and deploy solutions
- Distinguish between features of similar or related products and technologies
- Recognize a wide variety of solution domains, use cases, and applications
- Develop essential skills for managing and administering solutions
- Develop knowledge of solution patterns methods, technologies, and designs that are used to implement security, scalability, high availability, and other desired qualities.

Location and time

Course is 100% online (self-study) course and study environment is Metropolia's Moodle and Qwiklabs.

Materials

Online.

Teaching methods

100% online (self-study) course.

Course Lessons
The course consists of 11 lessons. Lessons consists of theory pages, practical exercises and quizzes.

Exercise Environment
Course Exercises are performed in the cloud using student's own workstation.

Course labs
The labs are done in a cloud environment.

Employer connections

N/A

Exam schedules

Online.

International connections

N/A

Completion alternatives

N/A

Student workload

Depends on the student from the baseline.

Content scheduling

Up to student her-/himself.

Further information

Course will be offered via Open UAS, only for payer costumers.

Course Exercises are performed in the cloud using student's own workstation:

The Instructor adds the student to the Qwiklabs Credit Sharing Group. As a group member, they will have access to Qwiklabs Credits.

NOTE: Student will receive an email from address noreply@qwiklabs.com with subject line "Welcome to Tapio Wikström's share group!". After receiving the email, the credits can be used. Credits expire after 6 months. After this, completing the exercises is no longer possible.

Evaluation scale

Hyväksytty/Hylätty

Assessment criteria, approved/failed

Pass/Fail

Assessment methods and criteria

The final test contains 80 multi-choice questions and the duration is 150 minutes.

The minimum passing score for the test is 700/1000. If not achieved, the student needs retake the test. The retake limit is 4!

It is possible to take the test remotely and grading is Pass/Fail.

Further information

Course is available only for Open UAS Students.

Further information

Course is available only for Open UAS Students.