TCS has teamed up with the Indian Institute of Technology Madras (IIT-M) to launch an M.Tech programme in Industrial Artificial Intelligence (AI) for working professionals. The M.Tech programme at IIT-M is an 18-month course designed in collaboration with TCS that will be delivered live via virtual classrooms to upskill corporate employees in AI applications and solve industrial problems. TCS expects the course to help scale up competence throughout the Indian workforce and enhance the AI and machine learning knowledge ecosystem, allowing India to become a global innovation powerhouse.
“TCS Research partners with premier academic institutes to explore emerging technologies with scientific rigour as they gain mainstream adoption,” said K Ananth Krishnan, Chief Technology Officer, TCS.
TCS said in a statement that the theoretical courses will cover fundamental mathematical techniques required for understanding data science algorithms, time series analysis, multivariate data analysis, machine learning, deep learning, and reinforcement learning, as well as applying AI solutions to industrial problems in a case study format.
“We are happy to collaborate with IIT-Madras, a member of the TCS Academic Co-Innovation Network, to create a new M Tech program in Industrial AI for working professionals so that they gain a deeper understanding of data science and AI which they can apply to drive innovation in industry,” Krishnan said.
Each subject will have one mid-term and a final examination conducted in online mode, besides project work. There will be a total of 28-30 hours of online classes per week, with post-classroom activities, such as assignments, reading, and preparation, likely to take up 20-22 hours per week.
“AI is going to impact every aspect of human experience in the years to come. This course, designed in partnership with TCS, will provide a unique perspective on the impact of AI in industrial systems. Leveraging AI techniques in industries can lead to processes that are robust, inherently safer and ultimately lead to environmentally benign processes,” added Rengasamy.
