About:
Royal Academy of Engineering,UK under Newton Bhabha Fund has approved a nation wide initiative on "AI and deep learning Skilling and Research". University college, London, Brunel University, London and Bennett University, India are collaborators of the project. NVIDIA and AWS Educate, Videoken and Edvantics are industry partners. At its full scale the project involves the resources of more than 100 million (including cash, kind and human contributions from the partners). Project has the potential to change the landscape of AI Research in India. The aim of this project to train and guide faculty members of associate institutes to do cutting-edge research in the areas related to the artificial intelligence and deep-learning. To equip faculty members and students with the industry-driven artificial intelligence and deep-learning tools, different Workshops are being planned across India at different locations. Fr. C. R. C. E. Bandra, is zonal lead for the same project. So we are organizing “AI AND DEEP LEARNING WORKSHOP”. Two day Deep Learning Workshop followed by a One day NVIDIA DLI workshop are completely free for Collaborators (20 pax), Zonal leads (5 pax), Basic partners (2 pax).
Orgnized by:
Fr. Conceicao Rodrigues College of Engineering
In Association with
Academic Partner: Bennett University
Industry Partner: NVIDIA and AWS Educate, Videoken and Edvantics
Convener: Dr. Sunil Surve Contact No. 9167635546
Coordinator: Dr. Sujata P. Deshmukh, Contact No. 9920510059, sujata.deshmukh [@] fragnel.edu.in
Registration
Please click on following link for online registration
Course Fee:
Fee : Rs. 6000/- GST : %18 Total Amount: Rs. 7080/-
Free for Collaborators/Zonal leads/Basic partners/Voucher/Member/Referral Discount
Two day Deep Learning Workshop followed by a One day NVIDIA DLI workshop are completely free for Collaborators (20 pax), Zonal leads (5 pax), Basic partners (2 pax). All such faculty members from these institutions should contact their institution's Single point of contact for coupon codes with 100% discount. To become basic partners, contact Dr. Sunil Surve, convener of the workshop.
For more information see Points to Note
Objectives
To make cutting edge skills and supercomputing infrastructure available to the wider community of academicians and researchers through a thoughtfully created network of approximately 10 collaborators and 100 lead institutions across India.
To initiate, sustain and nourish research groups in Artificial Intelligence. Based on the additional resource commitments by respective institutions, some of them can grow as a good research center.
To motivate the learner community for exploiting the potential of start-ups and innovations in this area and connecting them with the real-life problems of industry.
Overall it will enhance the content, quality, capacity and collaboration of Indian Engineering education ecosystem.
Outcomes
10000 trained people in Artificial Intelligence who in turn will be helping to train around 1000000 Students every year.
100 Research Groups working in different critical areas to solve some of the pressing problems in front of mankind.
Collaborator and 100 Lead Zonal institutions connected with Industry for live projects and helping their students to better prepare for the industry-required skills.
Marked improvement in the quality landscape and skill gap which will result in an overall buoyancy in the Indian higher education system to bring it at par with International standards
Day 1 |
8.00-9.00 | Registration |
Session 1 9.00-11.00 | Motivation Foundations and Terminology of Deep Learning |
Session 2 11.30-1.30 | Machine Learning Basics Linear Regression, Logistic Regression Gradient Descent |
Session 3 2.15-4.00 | Designing & Optimizing Neural Network Model Building Deep Models and Hyperparameter Tuning |
Session 4 4.30-6.30 | Deep Learning Hacks System/project level tricks and regularization strategies |
Day 2 |
Session 1 9.00-11.00 | Convolutional Neural Network Computer Vision with CNNs |
Session 2 11.30-1.30 | Recurrent Neural Network Sequence Modelling with RNNs, Autoencoders, generative modelling in Deep Learning |
Session 3 2.15-4.00 | Advanced Learning Topics Hands-On Labs |
Session 4 4.30-6.30 | Assessment Test |
Day 3
The NVIDIA Deep Learning Institute offers hands on training for developers, data scientists and researchers, looking to solve challanging problems with deep learning |
Session 1 09:00 - 11.00 | Image Classification with DIGITS (lab) |
Session 2 11:00 - 01:00 | Object Detection with DIGITS (lab) |
Session 3 02:00 - 04.00 | Neural Network Deployment with DIGITS and TensorRT (lab) |
For further information and prerequisite of workshop: Read More 
Points to Note:
Two day Deep Learning Workshop followed by a One day NVIDIA DLI workshop are completely free for Collaborators (20 pax), Zonal leads (5 pax), Basic partners (2 pax). All such faculty members from these institutions should contact their institution's Single point of contact for coupon codes with 100% discount.
Apart from those not being covered by point one, For all other academic participants, the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by leadingindia.ai initiative. NVIDIA DLI workshop will be given free to all such participants.
For all Industry professionals the fee for the workshop is 6000 INR + 18% GST (Total 7080 INR). This Fees is only for two days of Deep Learning Workshop by leadingindia.ai initiative. They are not allowed to attend NVIDIA DLI workshops as per the Guidelines from our Industry collaborator.
All those who successfully register in a workshop will get a referral code. This referral code will be available in your dashboard. Once five people use your referral code to do their workshop registration, then you will get 5000 INR credited to your account. This will go on like this for additonal five referrals hereafter. That means you will get 5000INR for every five referrals of your referral code for workshop registration.
Your referral code can not be combined with the discounted registrations. Even those who themselves have done discounted registration with 100% or 10% discount can use this referral offer to popularize the workshops.
For IEEE members, ACM Members, CSI Members, UG/PG/PhD students and for persons with a referral code there is a discount of 10% on base fee, so it will come down to 5400+18%= 6372 INR. If you fall in more than one category (e.g You are a student and IEEE member), still the discount will remain the same i.e 10%.
All participants will get participation certificate, if they attend the respective workshops in full. However, all those who clear the assessment test will receive the "successfully completed certificate". Assessment Test will consist of 30 Multiple Choice Questions and you need to answer atleast 15 questions correctly. NVDIA DLI Workshop Certificate will be separately given by NVIDIA
Working Lunch and Tea/Snacks in the morning and evening for all three days will be given without any cost.
Stay arrangements differ at different locations depending upon the facility being given by the respective institution. You should check at the link given against each location.
All should come with their laptops for the workshop. However, it is not mandatory. Those without laptops may not be able to enjoy the hands on tasks and coding experience. Without laptops participants may not be able to complete the NVIDIA Labs
For whatsoever reasons if you dont attend the workshop Registration Amount is non-refundable and Coupon can not be reused again for some other workshop.
Make sure that their laptop is set up prior to the workshop by following these steps:Ensure websockets runs smoothly on their laptop by going to http://websocketstest.com/ Make sure that WebSockets work for the laptop by seeing under Environment, WebSockets is supported and Data Receive, Send and Echo Test all check Yes under WebSockets (Port 80). If there are issues with WebSockets, try updating browser or trying a different browser. The labs will not run without WebSockets support Best browsers for the labs are Chrome, FireFox and Safari. The labs will run in IE but it is not an optimal experience.