The tech giant will launch a series of on-demand GCP training courses soon.
Many Indian enterprises have chosen Google Cloud Platform(GCP) to grow their businesses for some time now. The Cloud region in Mumbai uses Google's core infrastructure, data analytics and machine learning, which offers several services, including computing, Big Data, storage and networking.
Mohit Pande, Country Manager-India of Google Cloud said, "The launch of the Cloud region opens up new opportunities for several new partners who will benefit from building their services on Google Cloud. The new GCP region will help more customers build applications and store their data, and significantly improve latency for customers and end users in the area.”
Well known enterprises and start-ups like Ashok Leyland, Calcutta Electric Supply Corporation (CESC), Dainik Bhaskar Corp, Reliance Entertainment-Digital, Dalmia Cement, DTDC, Delhivery.com, GoIbibo, Royal Enfield, Air Vistara, Tata Sky and Walnut have opted for Google Cloud as their technology platform.
The Mumbai region joins Singapore, Taiwan, Sydney and Tokyo in the Asia-Pacific, making it easier for customers to build highly available efficient applications using resources across those geographies. Developers and network administrators can distribute apps and storage across multiple zones to protect against service disruptions.
With over 50 million small and mid-sized businesses, India is amongst one of the fastest-growing economies in the world. Pande added, "We have an incredible local team of seasoned enterprise and developer experts connecting with start-ups, SMBs and large corporations to understand their needs and offer solutions accordingly."
To meet the growing demand for industry-ready workforce in cloud computing, Google has also collaborated with Coursera, a leading US-based global online education platform, to launch a series of on-demand GCP training courses. These courses range in skill levels from beginner to advanced and include topics like cloud fundamentals, operations, security, data analytics and machine learning.