Google: Learn cloud skills at no cost with our new coaching tracks

Google is providing a free course for those that area unit on the look for skills to use containers, huge knowledge and machine-learning models in Google Cloud.

The initial batch of courses consists of 4 tracks geared toward knowledge analysts, cloud architects, knowledge scientists and machine-learning engineers. 

The Jan 2021 course offers a quick track to grasp key tools for engineers and designers to use in Google Cloud. It includes a series on obtaining started in Google Cloud, another concentration on its BigQuery knowledge warehouse, one that delves into the Kubernetes engine for managing containers, another for the Anthos application management platform, and a final chapter on Google's commonplace interfaces for linguistic communication process and laptop vision AI. 

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Participants got to check in to Google's "skills challenge" and can be thirty days' free access to Google Cloud labs. The free supply is geared toward those that area unit new Google Cloud and helps them get their head around nomenclature and ideas behind core infrastructure, like writing cloud shell commands, deploying virtual machines, and running applications on Kubernetes. 

The first a part of the course takes AN calculable 5 hours to finish and focuses on making and managing cloud resources. Participants learn the way to "write gcloud commands and use Cloud Shell, produce and deploy virtual machines in work out Engine, run containerised applications on Google Kubernetes Engine, and tack network and hypertext transfer protocol load balancers."

The courses area unit being run on Qwiklabs, a learning platform that Google Cloud nonheritable in 2016 to coach individuals and facilitate them get on board Google Cloud. It's meant to deal with the shortage of staff United Nations agency have cloud skills. 

Participants get a thirty minute tour of Qwiklabs; a lesson on the way to produce a Google work out Engine virtual machine or a Windows Server instance; an outline of the way to use Google's Cloud Shell for accessing resource; ANd recommendations on the way to got wind of network and net load balancers for an app running in an exceedingly VM.

The next track explores cloud storage, access management and identity management, cloud watching, victimization the Google Cloud Platform Console, making functions victimization Google's program line, and the way to use messages for applications.

After finishing a challenge work at the top of every track, participants will earn Google Cloud "skill badges". 

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"Each track can offer you an opportunity to earn totally different talent badges like the Foundational Infrastructure talent badge or Foundational knowledge, ML, and AI talent badge, that you'll be able to share together with your network," explains Murriel Perez McCabe, a client engineer at Google Cloud. 

To earn a talent badge, students got to complete a series of active works on Google Cloud labs to be told new cloud skills then ensure their new skills via a final challenge lab assessment.