The rapid evolution of artificial intelligence and machine learning has made it imperative for educators and researchers to stay updated with the latest advancements. The Online Faculty Development Programme (FDP) on “Mathematical Foundations of Deep Learning: Bridging Theory and Practice” offers a unique opportunity to delve into the mathematical principles that underpin modern deep learning techniques. This programme is meticulously designed to bridge the gap between theoretical concepts and practical applications, ensuring participants are well-equipped to apply these techniques in various domains.
Programme Overview
Organized by the Department of Pure and Applied Mathematics at Alliance University, Bangalore, in collaboration with the Department of Computer Science and Engineering, E & ICT Academy, NIT Warangal, this FDP is sponsored by the Ministry of Electronics and Information Technology (MeitY), Government of India. The programme is scheduled from 21st July to 30th July 2026 and aims to provide a comprehensive understanding of the mathematical foundations essential for deep learning.
Key Learning Objectives
- Understand the integration of linear algebra, calculus, probability, statistics, and optimization in deep learning.
- Gain practical experience with Python and deep learning frameworks.
- Explore neural network architectures, model optimization, and representation learning.
- Apply deep learning techniques in teaching, research, and real-world problem-solving.
Course Content
- Introduction to Artificial Intelligence, Machine Learning, and Data Science
- Research in Machine Learning and Applications
- Machine Learning with Feature Representation
- Feature Selection and Ensemble Methods
- Linear Algebra for Deep Learning
- Machine Learning Basics, including Linear Regression, Gradient Descent, and Backpropagation
- Dimensionality Reduction Methods, PCA, and SVM
- Introduction to Deep Learning, CNN models, and RNN
- Classification and Segmentation
- Research Trends and Real-World Applications of Deep Learning
Registration Details
The registration fee for faculty and research scholars is Rs. 500/-, while industry participants are required to pay Rs. 2250/-. Participants can pay the registration fee online using the following details:
- Account Name: Electronics & ICT Academy NITW
- Account No: 62423775910
- IFSC: SBIN0020149
- Bank and Branch: State Bank of India, NIT (REC) Warangal
How to Apply
Interested participants are required to fill in the online registration form available at this link https://forms.qle/4aUhcqprakZfOFAG9 Selection will be based on a first-come-first-serve basis, with a maximum of 40 participants. Successful candidates will receive a certificate upon completion of the course.
Important Dates
The last date for application submission is 15th July 2026. The selection list will be communicated via email by 17th July 2026. The programme will run from 21st July to 30th July 2026.
Contact Information
varun.kumar@alliance.edu.in
msv@nitw.ac.in
📠 Phone Number
+91 7827139738
08897064421
🌐 Website
Address
Conclusion
The FDP on “Mathematical Foundations of Deep Learning: Bridging Theory and Practice” is an invaluable opportunity for educators and researchers to enhance their understanding and application of deep learning techniques. By participating in this programme, attendees will be better equipped to contribute to the evolving landscape of artificial intelligence and machine learning.
Official Source / Reference
Alliance University and NIT Warangal invite applications from eligible candidates for the Faculty Development Programme on Mathematical Foundations of Deep Learning.
For more details, view the Official Notification.
Reference: https://nitw.ac.in/api/static/files/FDP_Brochure_2026-7-7-12-37-4.pdf
