01st February 2021 - 05th February 2021 (5 Days)
This intensive program in latest trends in Artificial Intelligence and Machine Learning and its applications is for various faculty members in engineering education across the state. This program is intended to give the faculty members in exposure to the basic theoretical concepts and also hands on experience on the latest tools that are used in Artificial Intelligence & Machine Learning. Industrialists from leading industries and eminent academicians from reputed institutions are handling the sessions
This FDP is financially sponsored by APJ Abdul Kalam Technological University, Thiruvananthapuram.
Neural Networks & Applications
Natural Language Processing (NLP) & Applications
Data Classification
Deep learning
Reinforcement learning
Tensorflow
Registration is free
For registration: tinyurl.com/yyov2utf
Format of permission letter is available here
E-certificate will be provided after the successful completion of the FDP.
Contact Numbers: Dr. Hari C.V. +91 9539814669
Ms. Priya S +91 9947051057
Mr. Gireesh T G +91 9895519025
Rajagiri School of Engineering & Technology (RSET) (Autonomous), established in 2001, is a private self-financing college, which had been affiliated to the Mahatma Gandhi University, Kottayam, Kerala from the 2001 to the 2014 admissions, and is affiliated to the A.P.J. Abdul Kalam Technological University, Trivandrum, Kerala from the 2015 admissions onwards. The college is approved by the All India Council for Technical Education, New Delhi. Six UG programmes, i.e. B.Tech. Applied Electronics & Instrumentation Engineering, B.Tech. Computer Science & Engineering, B.Tech. Electrical & Electronics Engineering, B.Tech. Electronics & Communication Engineering, B.Tech. Information Technology and B.Tech Mechanical Engineering, have been granted provisional accreditation by NBA. The institute is accredited by NAAC with "A" grade in the second cycle and it is the first and only private engineering colleges in the state to be ranked by National Institute of Ranking Framework (NIRF).
For more details: www.rajagiritech.ac.in
The department of Applied Electronics & Instrumentation (AEI) began in the year 2001 and it aims to develop highly skilled young professionals in the area of electronics, instrumentation and process control. The current intake of students is 60. The department aims at integrating the area of Instrumentation and Signal processing through research activities. Faculty members have the expertise to provide consultancy in areas like artificial intelligence/machine learning, sensors & transducers, LabVIEW and process instrumentation.
For more details: www.rajagiritech.ac.in/Home/AEI/index.asp
Dr. Kumar Rajamani, Philips Research, Bangalore
Dr. Praveen Sankaran, Assistant Professor, NIT Calicut
Dr. B. Kannan, Professor, Cochin University of Science and Technology
Dr. Arun Sankar M.S., Postdoctoral Research Fellow, University College Cork, Ireland
Mr. Siby Charley P, SDE Level 5, Tektronix India, Bangalore
Mr. Mithun Haridas, Assistant Professor, Cochin University of Science and Technology
Ms. Sreelakshmi C, Former Project Engineer, HTIC, IIT Madras
Dr. Abraham Thomas, Professor, Rajagiri School of Engineering & Technology
Prof. Dominic Mathew, Professor, Rajagiri School of Engineering & Technology
Mr. Binu A, Assistant Professor, School of Engineering & Technology
Dr. Hari C.V.
Coordinator - FDP on Artificial Intelligence and Machine Learning: Theory & Applications
Head of the Department,
Department of Applied Electronics and Instrumentation Engineering,
Rajagiri School of Engineering and Technology (Autonomous), Kochi, Kerala, India
Phone: +919539814669
Email: haricv@rajagiritech.edu.in
