Training Programmes


RBCDSAI in association with TalentSprint is set to launch multiple deep-tech executive education programs. TalentSprint is an edtech solutions company owned by the NSE, has entered into a multi-year partnership with RBCDSAI.

The first on the list of programs to be offered is a 12-month PG Level Advanced Programme in Applied Data Science and Machine Intelligence. This program aims to enable learners to build deep tech capabilities and apply their learnings to make data-driven business decisions for their organizations. The program is designed to address the demand and supply gap in Applied Data Science. For further details on the program, eligibility criteria and curriculum please visit the program page.


RBCDSAI in association IITM Skills Academy and GITAA Pvt. Ltd, an IITM incubated company, trained about 500+ officials of Ministry of Statistics and Programme Implementation (MoSPI) through courses on ‘Big Data analytics with Apache Spark in Python, Deep Learning Using PyTorch and Introduction to Blockchain’.


Since 2018, RBCDSAI trained about 100+ Indian Navy Officers in Artificial Intelligence & Machine Learning. The officers were trained for two weeks on fundamental topics such as statistics, regression, and advanced topics such as NLP and computer vision. They also underwent a python lab training. Prof. B. Ravindran and Dr. Nandan Sudarsanam initiated the sessions with an Introduction to ML & AI, Introduction to Probability, Probabilistic modelling, Data visualization and simulation, LDA and QDA. Followed by a series of sessions by Prof. B. Ravindran, Prof. Rahul Marathe, Prof. Usha Mohan, Prof. Raghunathan Rengaswamy, Dr. Nandan Sudarsanam, Dr. Mitesh Khapra, Dr. Nirav Bhatt, Dr. Harish Guruprasad, Dr. Sridharakumar Narasimhan, Dr. Arun Ayyar, Sudarsan Santhiappan covering various topics on AI and ML.


About 20+ Senior DRDO scientists attended a two week long advanced course on Reinforcement Learning organized by RBCDSAI. The training program was conducted by Prof. B. Ravindran, Dr. Nandan Sudarsanam, and team.