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Trainocate emphasizes the value of training and certification at the age of AI, cloud migration and modernization

The experimental learning from Trainocate builds future teams for cloud and AI transformation

Mumbai, IndiaPresent May 6, 2025 / Prnewswire/ – Since companies go through a significant change to the rapidly developing digital landscape, the demand for qualified experts in Artificial intelligence (AI), cloud migration and modernization has reached new heights. Since organizations accelerate their digital transformation efforts, the need for a workforce that is equipped with the right skills is more critical than ever.

Trainocate emphasizes the value of training and certification at the age of AI, cloud migration and modernization (Prnewsfoto/Trainocate Networks).

But the big question remains: Are workers ready to adapt?

The Future of Jobs Report 2025 from The World Economic Forum Highlights that 85% of companies believe that AI will significantly change the demand for skills in the coming years. The study also emphasizes that technological skills are expected to grow faster in the next five years than in any other category.

When companies integrate AI and modernize their IT infrastructure, the bridging of the growing digital skills gap has become essential. In order to use these opportunities, companies must invest in continuous learning, IT training and certification To equip your workforce to effectively navigate and use the KI and Cloud technologies.

Train Recognizes that the stay in the AI ​​and in the cloud-controlled era requires a strategic focus on continuous learning and upskilling. By equipping teams with the necessary skills, companies can enable their workforce to promote innovations, improve agility and to remain competitive in an increasingly digital world.

Learning experience: beyond traditional training

In order to meet the growing qualification gaps and the requirements of the industry, Trainocate has introduced its Learning experience Methodology one approach that goes beyond traditional digital or instructive training (ILT). This practical, scenario-based format immerses learners in real industry applications, live projects and simulated environments to ensure that they gain practical, professional experience.

Experimental learning is not only trained and certified – they are immediately inserted into critical projects to help companies accelerate their cloud and AI transformation trips.

This methodology enables learners:

  • Win practical, practical experience: Work on industry -relevant scenarios that simulate real challenges.

  • Develop critical skills for problem solving: Apply theoretical knowledge of business -related situations.

  • Make immediate project readiness: Reduce the time and contribute to organizational goals from day one.

  • Improvement of cooperation and decision -making: Work in teams to solve complex, scenario -based tasks that reflect the real dynamics of the workplace.

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