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Google Cloud Introduces Skills Challenge, Offering Free Training On AI, Data Analytics & More

Google Cloud introduces Skills Challenge that will offer free training to learners on Google Labs. The initial four tracks in the skills challenge include getting started, machine learning and artificial intelligence, data analytics, and hybrid and multi-cloud. Learners can also gain skill badges to demonstrate their expertise in the latest technologies on social and professional media platforms.

With Google Cloud Skills Challenge, learners can master skills to create machine learning models, deploy virtual machines, run applications on Kubernetes, manage cloud resources, use machine learning APIs, setup and configure cloud environments, and more.

One of the biggest trends in 2021 is to obtain skills to use the latest technologies like AI, ML, and software development on the cloud. The pandemic has made cloud computing skills a necessity for aspirants as well as practitioners.

Companies are highly relying on cloud computing since the pandemic caused by covid-19. As more professionals are working from home, the cloud has become the go-to platform for all data, AI, and software development tasks.

Google Cloud Skills Challenge brings an opportunity for learners to gain the most in-demand skills for free. The last date to register for the Google Cloud Skills Challenge is by January 31, 2021. Since each of the challenges can be completed in one month, Google Cloud is offering this free training for 30 days.

Over the last few months, Google Cloud has been providing several opportunities for learners to master new skills. Late last year, Google Cloud offered free training through its Qwiklabs. Being one of the top three cloud providers, Google Cloud skills can help in career advancements to technology enthusiasts.

Register for the Skills Challenge here.

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Kenny Manuel
Kenny Manuel
Kenny Manuel is a tech enthusiast who likes to write about the latest developments in the artificial intelligence industry. However, his interest mostly lies in mergers and acquisitions of AI-based companies.


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