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Inside TalentSprint's model of DeepTech learning

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Vaishnavi Desai
New Update
deep tech

The demand for skilled AI/ML professionals is definitely through the roof and pursuing a job in the domain leads to a high paying career that will be in demand for decades.

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However, the demand for AI professionals has not kept pace. There has been an definite shortage of data scientists. It has become essential to upskill and reskill for professionals. It is however difficult for full time professionals to pursue learning without quitting their job. TalentSprint, an NSE group company, claims to ease the glitch by partnering with top academic institutions such as IISc, IIIT Hyderabad, IIT Kanpur, IIM Calcutta, and global corporations to bring DeepTech programs to experienced professionals and fresh engineering graduates.

Dr Santanu Paul, CEO & MD, TalentSprint in a conversation with DQDeepTech talks about the evolution of the DeepTech learning model and the intent and motivation to focus on this niche learning segment.

Paul also talks about the new skills in-demand and the response coming with with feedback and request from the ground. He also throws light on bridging the academia and industry, challenges and opportunities in deeptech learning model, and business model and the scope in promoting DeepTech learning.

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