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 underpinning modern deep learning. This programme, organized by the Department of Pure and Applied Mathematics at Alliance University, Bangalore, and the Department of Computer Science and Engineering E & ICT Academy, NIT Warangal, is sponsored by the Ministry of Electronics and Information Technology (MeitY), Government of India.
Programme Overview
The FDP is designed to provide participants with a comprehensive understanding of the mathematical foundations critical to deep learning. It emphasizes the integration of theoretical concepts such as linear algebra, calculus, probability, statistics, and optimization with practical implementation using Python and deep learning frameworks. Through expert lectures and hands-on sessions, participants will gain insights into neural network architectures, model optimization, representation learning, and emerging AI technologies.
Course Contents
- 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, Linear Regression, Gradient Descent, Backpropagation.
- Basics of Python, Decision Trees, Naive Bayesian Classification, KNN, Unsupervised Learning Methods, K-Means.
- Dimensionality Reduction Methods, PCA, SVM.
- Introduction to Deep Learning, CNN models, and RNN.
- Classification and Segmentation.
- Research Trends and Real-World Applications of Deep Learning.
Programme Details
Eligibility and Registration
The programme is open to faculty members, research scholars, and industry participants. The registration fee is Rs. 500 for faculty and research scholars, and Rs. 2250 for industry participants. Participants are required to fill in the online registration form available at this link. Selection will be based on a first-come-first-serve basis, limited to 40 participants.
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.
How to Apply
Participants are required to fill in the online registration form by clicking on the following link: https://forms.gle/4aUhcqprakZfQFAG9.
Registration Fee
- Account Name: Electronics & ICT Academy NITW
- Account No: 62423775910
- IFSC: SBIN0020149
- Bank and Branch: State Bank of India, NIT (REC) Warangal
JOB LOCATION
CONTACT INFORMATION
For more enquiries, please contact:
- Dr. Varun Kumar, Department of Pure and Applied Mathematics, Alliance University, Bangalore. Email: varun.kumar@alliance.edu.in, Phone: +91 7827139738
- Dr. M. Srinivas, Computer Science and Engineering, NIT Warangal. Email: msv@nitw.ac.in, Phone: 08897064421
Conclusion
The FDP on Mathematical Foundations of Deep Learning is an invaluable opportunity for educators and researchers to enhance their understanding and application of deep learning techniques. By bridging theory with practice, participants will be equipped to contribute effectively to teaching, research, and solving real-world problems using AI technologies.
Reference: https://nitw.ac.in/api/static/files/FDP_Brochure_2026-7-7-12-37-4.pdf
🔖 Post Expires on 15th July 2026