Google Cloud Computing Fundamentals

Build technical proficiency in Google Cloud Platform (GCP) from cloud computing fundamentals to infrastructure, big data and machine learning—using real Qwiklabs hands-on labs. Learn App Engine, Compute Engine, Kubernetes Engine, BigQuery, IAM, and more. Pass/Fail.

1.8.2026 - 31.12.2027

6 cr

Registration open

Online

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.

Contains

Check the institution’s website for the required studies.

No active implementations at present.

Additional information and registration

Price and registration period: Check on the university's website

Go to the institution's website(Opens in a new tab)

Additional information:

Scope

6 cr

Code

TT00EW03

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.

Organiser

Metropolia University of Applied Sciences

Contact details

avoinamk@metropolia.fi

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