Chennai: Indian Institute of Technology Madras has partnered with Tata Consultancy Services (TCS) to launch a web-enabled, user-oriented programme on “Industrial AI” that is targeted at upskilling employees in corporates in the applications of AI to industrial problems.

The 18-month-long course, designed in consultation with TCS, will be offered by IIT Madras in a completely online live teaching mode through virtual classrooms. The first cohort of students for the program will be from TCS.

Highlighting the strengths of this Program, Prof. V. Kamakoti, Director, IIT Madras, said, “This program, designed in consultation with TCS, will have strong theoretical courses and labs covering important topics in data science and AI. Theoretical courses will cover concepts in fundamental mathematical techniques required for understanding data science algorithms, time series analysis, multivariate Data Analysis, machine learning, deep learning and reinforcement learning.”

Further, Prof. Kamakoti said, “Applied courses will describe implementations of AI solutions for industrial problems in a case study format. Put together, these courses are expected to provide a strong theoretical foundation and significant application perspective to the participants in the course.”

The key outcomes/benefits envisaged from the MTech in Industrial AI Include:

• Upskilling of Indian workforce in this important area
• Improving the knowledge ecosystem that is critical for AI adoption
• Translation of AI theory to practice
• Industrial solutions that are sustainable
• Development of AI theory and pedagogical methods for AI training informed by an application perspective

The IT revolution has positioned India as a significant global player. The current knowledge revolution that is backed by AI requires deep skills and understanding of this fascinating area. The development and adoption of this field is moving at such a frenetic pace that agile training and upskilling of Indian workforce is an imperative. Courses such as this will satisfy this need.

Each Subject will have one Mid-term and a final examination conducted in online mode, besides a 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.

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