Everest Group VP Sarah Burnett

UiPath launches Academy 2 learning program

Enterprise robotic process automation (RPA) software producer UiPath today launched Academy 2, its free online advanced RPA learning program which is designed to help tackle the global RPA skills shortage by building the world’s largest global RPA developer base.

The announcement was made at UiPath Forward Americas, an industry event attracting more than 700 people.

The training certifies and prepares participants to be production-ready immediately after course completion. The curriculum offers developers practical RPA development exercises focused on proven use cases, enabling them to master the UiPath RPA platform in a controlled environment.

This is delivered alongside a series of webinars preparing users for a certification exam. Utilising UiPath’s methodology of automation best practices, Academy 2 also provides in-depth teaching on how to develop scalable enterprise-grade RPA deployment.

Everest Group VP Sarah Burnett

“Enterprise-grade RPA is critical to the success of automation projects today,” Everest Group VP Sarah Burnett said.

“Our latest research indicates that users value ease of software and robot maintenance, security, and scalability as the most important features of enterprise RPA. These reduce the effort that is needed to develop, run and maintain robots. Our findings show that enterprise RPA should also offer integrated cognitive and machine learning for processing unstructured data and provide detailed robot operational analytics.”

Building on Forrester’s latest report that estimates the growth of the RPA market to hit $2.9 billion by 2021, Craig Le Clair, Forrester VP and principal analyst, will also unveil new research at UiPath Forward.

“The majority of firms now believe RPA robots as digital workers are good for their organizations,” Mr. Le Clair said. “Businesses today are looking for control and operations management, proof of scalability, and a cognitive AI roadmap when selecting an RPA provider. We are also seeing a growing variety of use cases for RPA and AI to accelerate, including chatbots with customer service, IoT sensors with predictive analytics and unstructured content with text analytics.”

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