In the rapidly evolving field of Artificial Intelligence, Reinforcement Learning (RL) stands out as a pivotal area of study, offering transformative potential across various industries. The Indian Institute of Information Technology Kottayam (IIIT Kottayam) is hosting a comprehensive 5-Day Faculty Development Programme (FDP) cum Workshop on Applied Reinforcement Learning: From Foundations to Real-World Applications. This event is designed to equip participants with both foundational knowledge and practical skills in RL, making it an unmissable opportunity for educators, researchers, and industry professionals.
Event Overview
The 5-Day FDP cum Workshop on Applied Reinforcement Learning is scheduled to take place from July 20 to July 24, 2026. This online event is organized by the Department of Computer Science & Engineering 2 (Applied AI) at IIIT Kottayam. It aims to bridge the gap between theoretical concepts and practical applications of RL, providing participants with hands-on experience using Python and MATLAB/Simulink.
Key Topics Covered
- Foundations of Reinforcement Learning
- Agent-Environment Interaction and Markov Decision Processes
- Value Functions and Dynamic Programming
- Q-Learning and Temporal Difference Learning
- Multi-Armed Bandits and Exploration-Exploitation Strategies
- Deep Q Networks (DQN) and Deep Reinforcement Learning
- Policy-Based Methods and Actor-Critic Frameworks
- Multi-Agent Reinforcement Learning
- Hands-on Reinforcement Learning using Python
- Reinforcement Learning using MATLAB & Simulink
- Real-World Applications of Reinforcement Learning
Speakers
- Dr. Raghuram Bharadwaj, Associate Professor, IIIT Bangalore
- Dr. Syed Sahul Hameed, Assistant Professor, IIITDM Kancheepuram
- Dr. Souvick Chatterjee, Manager Principal Customer Success Engineer, MathWorks India
- Mr. Mahesh Kumar, Senior Research Fellow, NIT Puducherry
- Faculty Members, IIIT Kottayam
About IIIT Kottayam
The Indian Institute of Information Technology Kottayam, established in 2015, is recognized as an Institute of National Importance under the Ministry of Education, Government of India. Located in Valavoor, Kerala, the institute spans a 53-acre campus and offers a range of programs in Computer Science and Engineering, Electronics and Communication Engineering, Cyber Security, Artificial Intelligence & Data Science, and more. IIIT Kottayam is committed to excellence in education, interdisciplinary research, and fostering innovation and entrepreneurship.
Who Can Participate?
This FDP cum Workshop is open to UG/PG students, faculty members, research scholars, and industry professionals who are keen to deepen their understanding of Reinforcement Learning and its applications.
Registration Details
Participants are required to register through the IIIT Kottayam SBI Collect Portal. The registration fee varies for different categories:
- UG/PG Students
- Research Scholars/Faculty Members/Industry Professionals
To complete the registration, follow these steps:
- Visit the SBI Collect Portal.
- Select Educational Institutions and search for IIIT Kottayam.
- Choose “FDP cum Workshop on -Applied Reinforcement Learning-” under the payment category.
- Complete the payment and download the receipt.
- Upload the receipt while filling the registration form.
Registration Link: https://forms.glc/oohBUNmUCYRrdVq59
Event Brochure: Clickhere
https://drive.googlexom/file/d/lMpwgfgSflTYlJfA-R8z5Eob7
Important Dates
Last Date for Registration: July 19, 2026
Confirmation to Registered Participants: July 20, 2026
FDP Dates: July 20-24, 2026
Contact Information
mirothalichand@iiitkottayam.ac.in
🌐 WEBSITE
https://www.iiitkQttayam.ac.in
Address for Communication
Indian Institute of Information Technology Kottayam, Valavoor P.O., Pala, Kottayam, Kerala 686635, India.
Official Source / Reference
The official notification for the 5-Day FDP cum Workshop on Applied Reinforcement Learning was released by the organizing department on July 10, 2026. For more details, visit the official notification.
Reference: Five-Day Online FDP cum Workshop on Applied
Reinforcement Learning Official Notification by Organizing Department on 10
July 2026







