EVENT TITLE: One Day Hands On Deep Learning With Modern Neural Network Architecture

DATE: 05-02-2026 (Thursday)

TIME: 10:30 AM – 12:30 PM

VENUE: Block 5 – Gallery Hall 3

EVENT CONVENER: Dr. S. Subbaiah, Convener, AI & ML

EVENT CO-ORDINATORS: Mr.D.SIVA, Assistant Professor, AI & ML

RESOURCE PERSON

Mr. Jai Ganesh Suresh

Lead AI Architech Ericsson

SUMMARY OF THE EVENT

The Department of Computer Science (AI & ML) at SRM Institute of Science and Technology, Ramapuram, organized a specialized technical session titled “One Day Hands-on Deep Learning with Modern Neural Network Architectures.” Hosted under the Faculty of Science and Humanities, the event served as a “Place for Transformation” by bridging the gap between academic theory and industry application. This workshop was specifically designed to equip students with the practical skills necessary to navigate the rapidly evolving landscape of artificial intelligence.

The session featured Mr. Jai Ganesh Suresh, a distinguished industry professional currently serving as the Lead AI Architect at Ericsson, as the resource person. By bringing an expert of this caliber to the campus, the department provided students with a rare opportunity to learn from a practitioner at the forefront of global AI implementation. Mr. Suresh’s insights into architectural design offered a high-level perspective on how deep learning models are constructed and deployed within massive corporate infrastructures.

The core of the workshop focused on the practical implementation of Modern Neural Network Architectures, moving beyond foundational concepts to explore complex models such as Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), or Transformers. The “hands-on” nature of the day ensured that participants moved past passive listening to engage in active coding and model building. This immersive approach is vital for mastering the nuances of training algorithms and optimizing them for real-world performance.

Scheduled for Thursday, February 5, 2026, the workshop was held in the 3rd Floor Gallery Hall of Block V, commencing at 10:30 AM. The setting facilitated a professional learning environment where students could interact directly with the resource person and collaborate on technical tasks. The structure of the day was meticulously planned to balance conceptual lectures with intensive lab-style sessions, ensuring a comprehensive learning experience within the one-day timeframe.

The event concluded by reinforcing SRM’s status as a top-tier institution, highlighted by its A++ NAAC rating and strong global rankings in the QS and Nature Index. Furthermore, the workshop aligned with several Sustainable Development Goals, including Quality Education and Industry Innovation, by fostering a technologically adept workforce. The session left students with a deeper understanding of deep learning frameworks and a clearer roadmap for pursuing careers in the competitive field of AI and Machine Learning.

KEY TAKEAWAYS

• Mastery of Modern Architectures: Gained in-depth knowledge of advanced neural network structures and their practical applications in solving complex real-world problems.
• Hands-on Technical Proficiency: Developed practical skills in building, training, and optimizing deep learning models through immersive, lab-style sessions.
• Industry-Standard Insights: Understood the current trends and deployment strategies used by global tech leaders like Ericsson in the field of AI architecture.
• Optimization and Performance: Learned techniques for enhancing the accuracy and efficiency of neural networks to meet high-performance industry requirements.
• Career Readiness: Explored the professional landscape of AI and Machine Learning, identifying the core competencies needed to excel as an AI Architect or Data Scientist.

SUSTAINABLE DEVELOPMENT AND GROWTH MAPPING

OUTCOMES OF THE PROGRAM: (Based on SDG)

SDG 4: Quality Education

The session enhanced student understanding of AI and automation technologies, encouraging future-ready skills in quality assurance and software testing.

SDG 8: Decent Work and Economic Growth

By introducing the importance of automation testing careers, the session promoted employability and industry-aligned competencies among students.
SDG 9: Industry, Innovation, and Infrastructure
The event fostered awareness about innovation in testing infrastructure through AI-based tools, contributing to sustainable technology advancement.

SDG 11: Sustainable Cities and Communities

The event emphasized the role of advanced AI architectures in building smarter, more efficient urban systems, contributing to the development of sustainable infrastructure and data-driven community solutions.