IIT Guwahati & S-VYASA – Faculty Development Programme on Fundamentals of Deep Learning (2026)
Overview
About Organization
The Electronics and ICT Academy (E&ICT), IIT Guwahati, is an initiative of the Ministry of Electronics and Information Technology (MeitY), Government of India, aimed at training faculty and researchers in emerging technologies. S-VYASA University, Bangalore, is a NAAC A+ accredited institution recognized for integrating traditional education with modern scientific approaches, emphasizing holistic learning and research.
Post Details
Programme: One Week Faculty Development Programme (Offline) Topic: Fundamentals of Deep Learning Dates: 7th – 11th September 2026 Venue: S-VYASA, Sattva Global City Campus, Bangalore Duration: 40 contact hours (theory, activities, case studies, evaluation) Timing: 09:00 AM – 05:00 PM daily
Eligibility Criteria
Open to Faculty Members and Ph.D. Research Scholars from universities and colleges.
Participants must submit a No Objection Certificate (NOC) from their respective departments before attending.
Experience Requirements
Basic programming knowledge.
Familiarity with mathematics and data analysis.
Ability to work with Jupyter Notebook or Google Colab.
Basic knowledge of Python libraries installation and usage.
Salary / Funding
Registration Fee: ₹1180 (inclusive of GST).
Fee includes FDP kit, stationery, lunch, tea, evaluation, participation certificate, and grade certificate.
Refund available if cancellation request is submitted before the last date of registration.
Selection Process
Registration through online link.
Payment via NEFT/RTGS/IMPS/UPI.
Submission of UTR number as proof of payment during registration.
Important Dates
Registration Opens: July 27, 2026
Last Date of Registration: August 31, 2026
Programme Dates: September 7–11, 2026
How to Apply
Register online via the provided Google Form link: https://forms.gle/mDmC5fgdrGhWSd3c7
Payment details:
• Account Name: IIT Guwahati R&D, E&ICT Academy • Account No.: 36071160089 • IFSC Code: SBIN0014262 • Bank: State Bank of India • UPI ID: elct2025@sbl
Contact: Prof. Shilpashree S (Email: shilpashree.s@svyasa.edu.in, Phone: 9743209996)
Why Apply
This FDP provides hands-on exposure to deep learning frameworks, enabling faculty and researchers to design and implement AI-based solutions for real-world problems. It promotes integration of deep learning into teaching, research, and interdisciplinary innovation.
Who Can Apply
Faculty members and Ph.D. research scholars from universities and colleges with basic programming and data analysis knowledge.
URLs
Brochure URL: https://eict.iitg.ac.in/course_img/352/10505244ee4cdd9728966db7dd71a79ec63250.pdf
Day-wise Schedule
Day 1
Day 1
Day 2
Topic: Introduction to Deep Learning & Neural Networks
Day 3
Time: 09:00 AM – 05:00 PM
Day 4
Speaker: Prof. Gaurav Trivedi (IIT Guwahati)
Day 6
Day 2
Day 7
Topic: Architectures – CNNs & RNNs
Day 8
Time: 09:00 AM – 05:00 PM
Day 9
Speaker: Faculty Experts (S‑VYASA University)
Day 11
Day 3
Day 12
Topic: Hands‑on with TensorFlow & PyTorch
Day 13
Time: 09:00 AM – 05:00 PM
Day 14
Speaker: Faculty Experts
Day 16
Day 4
Day 17
Topic: Applications in AI/ML & Case Studies
Day 18
Time: 09:00 AM – 05:00 PM
Day 19
Speaker: Faculty Experts
Day 21
Day 5
Day 22
Topic: Evaluation, Research Integration & Teaching Innovation
Day 23
Time: 09:00 AM – 05:00 PM
Day 24
Speaker: Faculty Experts
Learning Outcomes
- Understand fundamentals of deep learning
- Design and implement basic deep learning models
- Apply frameworks like TensorFlow/PyTorch
- Evaluate model performance for real‑world applications
- Integrate deep learning into teaching and research
About the Speaker
• Senior Faculty from S‑VYASA University specializing in AI/ML and Engineering Education
Registration Fee
| Fee (INR) | ₹1180 (Inclusive of GST) |
Software Requirements
• Jupyter Notebook / Google Colab
• TensorFlow / PyTorch libraries
• Stable Internet Connection
Certificate Information
Streams
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