Flash registration deadline: 12th October 2025
Early bird registration deadline: 26th October 2025
Regular registration deadline: 16th November 2025
Spot registration deadline: 1st December 2025
Registration Fee
Fee Category | Flash registration (By October 12th, 2025) | Early bird registration (By October 26th, 2025) | Regular registration (by November 16th, 2025) | Spot registration (by December 1st, 2025) |
---|---|---|---|---|
Fulltime Undergraduate B.Tech/ B.E. Students | 18,999 + 18% GST = Rs. 22,419 | 19,999 + 18% GST = Rs. 23,599 | 21,999+ 18% GST = Rs. 25,959 | 23,999+ 18% GST = Rs. 28,319 |
Fulltime Undergraduate B.Sc/ BBA/ BCA students | 18,999 + 18% GST = Rs. 22,419 | 19,999 + 18% GST = Rs. 23,599 | 21,999+ 18% GST = Rs. 25,959 | 23,999+ 18% GST = Rs. 28,319 |
Class XI/ XII students | 18,999 + 18% GST = Rs. 22,419 | 19,999 + 18% GST = Rs. 23,599 | 21,999+ 18% GST = Rs. 25,959 | 23,999+ 18% GST = Rs. 28,319 |
Fulltime Postgraduate M.Tech/ M.E. Students | 19,999 + 18% GST = Rs. 23,599 | 20,999+18% GST=Rs 24,779 | 22,999+ 18%GST=Rs 27,139 | 24,999+ 18% GST = Rs. 29,499 |
Fulltime Postgraduate M.Sc/ MBA/ MCA students | 19,999 + 18% GST = Rs. 23,599 | 20,999+18% GST=Rs 24,779 | 22,999+ 18%GST=Rs 27,139 | 24,999+ 18% GST = Rs. 29,499 |
Fulltime Ph.D. Research Scholars | 20,999+18% GST=Rs 24,779 | 21,999+ 18% GST = Rs. 25,959 | 22,999+ 18%GST=Rs 27,139 | 25,999+ 18% GST = Rs 30,679 |
Fulltime Faculty | 21,999+ 18% GST = Rs. 25,959 | 22,999+ 18%GST=Rs 27,139 | 24,999+ 18% GST = Rs. 29,499 | 26,999+ 18% GST = Rs. 31,859 |
Industry Professionals/ Personnel from R & D Organisations/ Government Officials in India and all other participants |
27,999+ 18% GST = Rs. 33,039 | 29,999+ 18% GST = Rs. 35,399 | 31,999+ 18% GST = Rs. 37,759 | 33,999+ 18% GST = Rs. 40,119 |
International participants and Non-resident Indians | 675 USD + 50 USD Courier charges = 725 USD | 700 USD + 50 USD Courier charges = 750 USD | 725 USD + 50 USD Courier charges = 775 USD | 775 USD + 50 USD Courier charges = 825 USD |
Registration covers the following
- Participation in online AI/ ML/ DL program
- Hands-on AI/ ML/ DL tutorials
- Distinguished guest lectures by experts from MICROSOFT AND GOOGLE
- Hands-on assisted AI/ ML/ DL projects with practical datasets
- PYTHON project mentoring and coding assistance by IITK TAs
- Detailed printed school material on AI/ ML/ DL sent by post
- Hard copy of PYTHON Project Code sent via post
- AI/ ML/ DL participation certificate from IIT Kanpur (Soft copy)
- Souvenir IITK T-Shirt
Important Notes:
Registration for the IIT Kanpur Certificate Program on PYTHON for Artificial Intelligence, Machine Learning, and Deep Learning is OPEN now Refund Policy: In case of cancellation by participant, fee will be refunded after deduction of GST and INR 3,000 overhead charges per program. Cancellation requests will only be accepted up to 12th November, 2025. After that no refund will be possible. Cancellation is not possible for international participants. Act of God: In the rare event course cannot be held as per normal schedule because of acts of God beyond our control due to extreme events pertaining to weather, natural phenomenon or critical illness/ unavailability of the instructor, school will be shifted to a later date and will be held as soon as normalcy is restored.
Procedure for Anaconda, Spider, PYTHON installation for windows: Preparing for the school
Steps for registration
Information for Paying Registration Fee via SBI i-collect
Please read the document for more details Information for Filling the Registration Form
https://www.onlinesbi.sbi/sbicollect/icollecthome.htm
Please note participants are required to use Laptop with PYTHON, installed. Although participants can use any IDE, preferred installation is ANACONDA and Spyder for PYTHON.
Detailed stepwise procedure to install ANACONDA Spyder for free on windows platform can be found in document below
Installation document
Once Spyder IDE is running, please run this TEST CODE to make sure your installation is working as expected.
The SCREEN SHOT of plot is here
Important Notes: The school is self-contained and includes research style lecture sessions with concepts, problem formulation, algorithms, followed by simulation and verification over practical datasets using PYTHON and various packages such as NUMPY, LINALG, MATPLOTLIB, PANDAS, SCIKIT-LEARN, SEABORN, TENSORFLOW, KERAS.
Participants are also suggested to go through video lectures of Prof. Aditya Jagannatham below to learn more about some of the basic concepts for the school.
Applied Linear Algebra for Signal Processing, Data Analytics and Machine Learning