Samsung India has inaugurated the Samsung Digital Academy at IIT-Guwahati, thereby strengthening its commitment towards the government’s Skill India mission and also bolstering the Digital India initiative.
Samsung has so far set up five Samsung Innovation Labs in IIT-Delhi, IIT-Kanpur, IIT-Hyderabad, IIT-Kharagpur and IIT-Roorkee as part of its Samsung Digital Academy program.
The Samsung Innovation Lab at IIT-Guwahati will train students on Internet of Things (IoT), Embedded Systems, Artificial Intelligence (AI) and Machine Learning (ML), helping them learn industry-relevant skills and making them job-ready.
Samsung Digital Academy is Samsung’s corporate social initiative that aims to bridge the digital divide and proficiency gaps in the country by skilling students on cutting-edge technology. Through this partnership with IIT-Guwahati, the academy targets to train over 300 students in the next three years on these cutting edge technologies.
“I sincerely feel that Samsung Digital Academy Programme at IIT-Guwahati would increasingly help Assam to emerge as a key player in the development of next-generation technology ecosystems and help the state in becoming a potential destination for skill development mission from a digital perspective,” said Chief Minister of Assam, Sarbananda Sonowal.
“We are committed to work in the field of next generation technology development and participate in the growth of advanced research areas such as IoT through the network of Samsung Innovation Labs under the Samsung Digital Academy program,” said Kiho Kim, Managing Director, Samsung Research & Development Institute, Delhi.
“IIT-Guwahati is actively looking forward to the association with Samsung India to impart cutting edge education to the students of the institute. Such initiatives will help bridge the academia-industry gap and foster more collaborations that would be a win-win situation for both,” said Prof. TG Sitharam, Director, IIT-Guwahati.
The curriculum at the Samsung Innovation Lab at IIT-Guwahati will include Internet of Things (IoT), embedded systems, artificial intelligence and machine learning. The course will be taught over 14 weeks through classroom lectures, assignments and lab room sessions, self-study and mini projects. Extensive tutorials and approach documents will also be provided to students to facilitate practical exercises.