
Hands-on Training in Machine Learning and Artificial Intelligence for Industry 4.0
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About the event
Students from all department of Engineering/Polytechnic/Arts background can participate in both online and offline mode. Students will be given hands-on training in Artificial Intelligence fundamentals, Machine Learning, fundamentals behind ML and working of fundamental ML algorithms. Students will be thought basic Python related to the ML algorithm through online ML compilers.
Events & highlights
Hands-on Training in “Machine Learning & Artificial Intelligence for Industry 4.0”
Meet the organizer
KGiSL Institute of Technology (KiTE) was established in the year 2008 under KG Trust by Dr. G. Bakthavathsalam, MS, FICS, FCCP, FAMS, FMMC, Founder-Chairman of KG Hospital, with an objective to offer quality education at the undergraduate and post graduate levels with relevance to industry embedded education, to mold the students for leadership in various fraternities like industry, government and educational institutions; to advance the knowledge base of the engineering professions and to influence the future directions of engineering education and practice. KGiSL Institute of Technology is recognized as an intellectual industry hub for learning and practice being sponsored by KG Information Systems Private Limited. The Founder and Director of KG Information Systems Private Limited, Mr.Ashok Bakthavathsalam B.E., M.S., is responsible for KGiSL’s growth by playing a vital role in both leadership and management of the company. KGiSL Institute of Technology is located inside the KGiSL Campus, a sprawling 40-acre campus, just 8 kms from the city, which also houses the BPO, Software and Call Center operations of KGiSL apart from the co-location of its institutions for higher learning. The Campus presents the perfect integration of institute – industry infrastructure in an environment of perfecting learning.
Explore KGiSL Institute of Technology ↗Event type details
Hands-on Training
Registration deadline / Important dates
06.09.2022
Registration Fees
400/- per participant
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