For university students, internships in industry are opportunity to apply concepts learned in their academics and develop their soft skills required to work in an interdisciplinary team of professionals. Internship projects can be implemented over a short duration or long duration, which often decides the insight and experience gained by students during that period. In order to maximise this gain, students need to be efficient in learning pre-requisites, planning and execution of the project. This work focuses on application of CDIO approach in an integrated digital environment, for implementation and progression of such projects. The projects in an industry environment are often target oriented and require students to learn/practice new skills required for their project. It is a lifelong learning process, as in industry engineers have to work on new projects requiring new skills and collaborate with professionals from different background. We present an implementation of a new usage-scenario for Virtual Twin project at Learning Lab in Global Academia, Dassault Systèmes. Virtual twin project is implementation of open source humanoid robot – ‘Poppy humanoid’, using 3DEXPERIENCE platform. The usage scenario discussed, focusses on basics of machine learning and mechatronics for Poppy humanoid robot. The CDIO concept is applied in forms of - inspire, learn, innovate, create and evaluate activities - using combination of different 3D systems and digital platform. This work shows how to effectively evolve an advanced project for students and their supervisors over a short duration, using CDIO methodology and an integrated digital platforms.
