Aim & Scope

  • Who can apply: Students, industry professionals, and faculty members interested in deep learning.
  • Prerequisites: Basic knowledge of programming and machine learning concepts is recommended but not necessary.
  • Programme Scope: Immersive learning on deep learning applications in natural language processing and computer vision.
  • Mode: Conducted in hybrid mode to ensure wider accessibility.
  • Lectures: 48 sessions, including 8 expert lectures by renowned national and international professionals.
  • Hands-on and Lab Sessions: 16 hours each, offering practical exposure to deep learning techniques and tools.
  • Key Features: Focus on theoretical foundations, advanced topics, and real-world case studies.
  • Onboard Participation: Paid accommodation and food will be arranged for onboard participants, subject to availability.
  • Certification: Certificates will be awarded upon successful completion of the programme.
  • Outcomes: Skill development, practical implementation experience, and insights into cutting-edge research and applications.

Our Expert Speakers

...

Prof. Bhabatosh Chanda

Professor (Retired)
Electronics and Communication Sciences Unit
Indian Statistical Institute, Kolkata

...

Prof. Pabitra Mitra

Professor
Dept of Computer Science and Engineering
Indian Institute of Technology, Kharagpur

...

Prof. Deepayan Bhowmik

Director of Research
Senior Lecturer in Data Science
Newcastle University

...

Dr. Sandipan Dandapat

Principal Applied Researcher
Microsoft

...

Dr. Debi Prasad Dogra

Associate Professor
HoD, Dept of Computer Science and Engineering
Indian Institute of Technology, Bhubaneswar

...

Dr. Soujanya Poria

Assistant Professor
Singapore University of Technology and Design
Singapore

...

Dr. Satish Kumar

Senior System Engineer
Airspan Networks, UK

...

Dr. Sibaji Gaj

Staff Engineer
Qualcomm, San Diego

Registration

Fee details

Students / Faculties : 2,000 INR
Foreign Participants / Industry Personnel : 10,000 INR
(same for online and offline)

Bank Details

Beneficiary Name: IITG TIDF
Bank Name: Canara Bank
Branch Name: IIT Guwahati
IFSC Code: CNRB0008652
Account Number: 8652101030401
Extended registration is for online participation only.

Please make the payment via the details given above, fill up the form, and send a whatsapp message to +91 6297669108 to get the confirmation mail and meeting links. We appriciate your interest in our school.

Programme Schedule

Accomodation

A limited number of rooms in the institute hostels are reserved for the participants between 5th to 14th January. This is a low-cost option and is available on a first-come-first-served basis. A participant will directly pay their accommodation cost to the hostel. Other options for accommodation are the guest house of the institute and the hotels close to the institute. Please mail us (at suklav@iitg.ac.in) to book a hostel room or if you need support for other accommodation options. Payment for the accommodation will be made directly on the spot.

Room Charges

INR 200 (approx.) per day per person with common washroom
INR 300 (approx.) per day per person with attached washroom

Sponsors

...

TIDF-IITG

...

IIT Guwahati

Contact Us

Coordinator

Prof. Arijit Sur (+91-9678000387)


Venue

Department of Computer Science and Engineering,
H-Block Academic Complex,
Indian Institute of Technology Guwahati. Guwahati - 781039
View on Map

Questions?