IIT Kharagpur announced a 12-week online course on Deep Learning in Visual Computing. The college will issue the e-certificate for a fee of Rs 1,000, and will especially benefit engineering students.
Indian Institute of Technology (IIT) Kharagpur has announced a free 12-week online course on Deep Learning for Visual Computing. (Deep learning is a type of machine learning algorithm)
Although the course is open to any interested professional or student, it will be most beneficial to students pursuing the following degrees: Electrical Engineering, Electronics and Communication Engineering and Computer Science Engineering.
So far 900 students have enrolled for the course conducted by Debdoot Sheet, assistant professor of electrical engineering at IIT Kharagpur.
Things to know
- The course is free.
- A fee of Rs 1,000 is charged for the e-certificate.
- A certificate will be awarded based on the candidate’s performance in the final examination.
- The final grade will be calculated based on 25 percent of the average assignment score and 75 percent of the proctored certification exam. The average assignment score is the average of the best eight of the 12 assignments given in the course.
- Hard copies of certificates will not be provided.
How to Apply
The course itself is offered on the NPTEL platform where you need to sign up using an email address.
Important dates
- The 12-week course will run from 23 January 2023 to 14 April 2023.
- The deadline for nominations is 30 January 2023.
- The exam will be conducted on 30 April 2023 in two slots from 9 AM to 12 PM and 2 PM to 5 PM.
(Edited by Asha Prakash.)
Found value in our stories?
Pay what you can to support effective journalism
If you find our stories insightful, informative, or simply entertaining, we invite you to consider making a voluntary payment to support the work we do at The Better India. Your contributions help us continue to produce quality content that educates, inspires and drives positive change.
Choose one of the payment options below for your contribution-
Thank you for your support. Here are some frequently asked questions to help you understand why you’re contributing?