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Six Top Online Courses by Google Cloud on Coursera

Carolyn

Founder at MoocLab
Staff member
About Google Cloud
Google Cloud's mission is to help organizations empower their employees, serve their customers, and build what’s next for their businesses with innovative technology created in—and for—the cloud. Google Cloud products are engineered for security, reliability, and scalability, running the full stack from infrastructure to applications to devices and hardware.

The following on-demand online courses are offered by Google Cloud via MOOC platform Coursera to help customers apply their technologies.

Discover top Google Cloud content that has launched this year in Data Science, Computer Science, Business and Information Technology:

Google Cloud Courses
Machine Learning for Business Professionals [Data Science]
Intermediate Level | Approx. 15 hours to complete | Suggested: 4 weeks of study, 2-4 hours/week
This course is intended to be an introduction to machine learning for non-technical business professionals.
► Free Audit Option - Go to Course Page ►


Architecting with Google Kubernetes Engine [Computer Science]
Beginner Level | Approx. 2 months to complete | Suggested 15 hours/week
This course will teach you how to implement solutions using Google Kubernetes Engine, or GKE, including building, scheduling, load balancing, and monitoring workloads, as well as providing for discovery of services, managing role-based access control and security, and providing persistent storage to these applications.
► 7-day full access free trial - Go to Course Page ►


Business Transformation with Google Cloud [Business]
Beginner Level | Approx. 7 hours to complete | Suggested: 1 week of study, 5-8 hours/week
If you want to learn about cloud technology so you can excel in your role, help build the future of your business and thrive in the cloud era, then the Business Transformation with Google Cloud course is for you.
► Free Audit Option - Go to Course Page ►


Site Reliability Engineering: Measuring and Managing Reliability [Information Technology]
Advanced Level | Approx. 23 hours to complete | Suggested: 4 weeks of study, estimated 2 hours per week
This course teaches the theory of Service Level Objectives (SLOs), a principled way of describing and measuring the desired reliability of a service. Upon completion, learners should be able to apply these principles to develop the first SLOs for services they are familiar with in their own organizations.
► Free Audit Option - Go to Course Page ►


Preparing for the GCP Professional Cloud Architect Exam [Information Technology]
Advanced Level | Approx. 13 hours to complete | Suggested: 1 week of study, 6-8 hours/week
This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.
► Free Audit Option - Go to Course Page ►


Preparing for the GCP Professional Data Engineering Exam [Information Technology]
Advanced Level | Approx. 13 hours to complete | Suggested: 1 week of study, 6-8 hours/week
This course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.
► Free Audit Option - Go to Course Page ►

 

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