Google launches Free Course on Cloud Computing Foundations with Kubernetes – Analytics India Magazine

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Google Cloud and NASSCOM have collaborated to lay a new foundation to prepare students for entry-level Cloud jobs. Announced on September 22, Google Cloud aims to build solid computing foundations with the help of ‘Google Cloud Computing Foundations with Kubernetes’, a beginner course in partnership with Kubernetes and FutureSkills, a Meity–NASSCOM digital skilling initiative.
While the main focus would remain on digital skilling, this beginner-level course is expected to provide participants with basic experience in cloud computing and also help them understand rudimentary concepts in big data and machine learning (ML).
The course would also offer hands-on training via Google Cloud Skills Boost platform to assist diverse career paths including data analytics, IT infrastructure, Cloud native application development, among others.
Anil Bhansali, VP of Engineering and Head of India Development Centre at Google Cloud said, “Google Cloud certifications will help individuals validate their cloud expertise, elevate their careers, and transform businesses with Cloud technology.” 
As per a statement, the enrolled participants will earn a course completion certificate and industry-recognised skill badges upon successful completion of the programme. Moreover, the course will be made available for free to freshers and students at institutions of higher education who are seeking to upskill on emerging technologies.
CEO Kirti Seth at NASSCOM says, “An aligned course, it will not only provide individuals an introduction to cloud computing covering cloud basics, big data, and machine learning but also give them an option to learn at their own pace.” 
According to a Gartner report, cloud technology is becoming increasingly mainstream as enterprises continue to invest more in cloud-based offerings, thereby also enabling a higher demand for talent in the cloud ecosystem. 
Kubernetes is an open-source container orchestration system and is used for automating software deployment, scaling and management. It builds on 15 years of running Google’s containerised workloads, along with the valuable contributions from the open source community.
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