IIT Madras startup units Guinness document for upskilling individuals in Python

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Beating the earlier document by 50 occasions, IIT Madras-incubated startup GUVI and All India Council for Technical Training (AICTE) has set the Guinness world document in upskilling Indians in Python programming language. They set the document for “most numbers of customers to take a programming lesson in 24 hours”.


As many as 1,12,319 individuals participated within the ‘AI-for-India’ Initiative organized on April 24-25, 2021 by GUVI and AICTE which major goal to succeed in out a million Indians and upskill them within the Python programme language.



“Greater than six lakh customers throughout 28 states registered for his or her extremely anticipated AI-For-India occasion and round 1.12 lakh customers accomplished constructing the face recognition app within the on-line workshop,” SP Balamurugan, Co-Founder & CEO, GUVI instructed ANI.


Individuals from numerous backgrounds like college children, highschool college students, school graduates, job seekers, and skilled IT and non-IT professionals took half within the occasion.


“College students and dealing professionals from all elements of the nation, from the city centres to these in distant villages, labored on their cell phones and laptops to take programming classes in Python throughout this landmark occasion. The visuals are from a neighborhood village in Tamil Nadu. College students and professionals in these villages organized a dozen streaming gadgets to attend a free on-line workshop primarily based on Synthetic Intelligence,” Balamurugan mentioned.


“The host of the workshop was guiding them on construct a facial recognition app from scratch,” he added.


Tech aspirants can avail of a professionally curated over 100-course catalog for a minimal quantity of 399/month or 1499/yr. The certification for that Python course shall be out there on paying a minimal price of Rs. 1770/- as it’s issued by IIT-Madras.

(Solely the headline and film of this report could have been reworked by the Enterprise Customary employees; the remainder of the content material is auto-generated from a syndicated feed.)

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