In a significant move to address India’s growing demand for cloud talent, Alibaba Cloud, the cloud computing powerhouse of Alibaba Group, has partnered with edForce, a leading Indian workforce upskilling accelerator. This strategic collaboration is set to roll out industry-relevant training programs in cloud computing and artificial intelligence (AI) across the nation, equipping professionals with the capabilities needed in a rapidly evolving digital economy.

According to a joint study by NASSCOM and BCG, India is projected to witness over 2 million new cloud-centric jobs by 2027, yet a considerable skills gap remains. Meanwhile, the global cloud computing market is poised to hit $1.2 trillion by 2028, fueled by accelerated enterprise adoption and innovation.

Recognized among the top three global cloud service providers, Alibaba Cloud brings to the table a comprehensive suite of technologies—including elastic computing, AI, big data analytics, and cybersecurity solutions. edForce, known for implementing large-scale training programs for corporates like Infosys, Walmart, Amazon, and Sony, will facilitate the learning experience through CloudLabs, immersive simulations, and expert-led instruction.

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“This partnership with Alibaba Cloud underscores our mission to empower India’s talent pool with globally competitive digital skills,” said Ravi Kaklasaria, Co-founder and CEO of edForce. “We’re enabling the digital transformation journeys of enterprises by strengthening their most critical asset—human capital.”

Key outcomes of the collaboration include:

• Alibaba Cloud certifications boost the employability and credibility of IT professionals.
  
• Practical, enterprise-aligned training in areas such as cloud architecture, AI, storage, and security.
  
• Support for digitalisation initiatives across industries, including fintech, retail, manufacturing, and public services.
  

By nurturing a new generation of certified cloud professionals, Alibaba Cloud and edForce aim to empower Indian organisations, both large and small, to scale seamlessly in a cloud-first, AI-augmented future.

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