AI Across the Stack FDP 2026 – SRM Easwari Engineering College
Artificial Intelligence is rapidly transforming every layer of modern computing—from data intelligence to edge AI systems. To address this evolving landscape, SRM Easwari Engineering College, Chennai is organizing a one-week International Faculty Development Program (FDP) titled:
📅 13th – 20th April 2026
🌐 Mode: Online
⏰ Time: 6:00 PM – 7:30 PM IST
🎯 Why This FDP is Important
This FDP is designed to help faculty members, researchers, and professionals gain practical and conceptual knowledge in cutting-edge AI technologies including machine learning, cloud AI, DevOps, and edge intelligence.
- Understand modern AI frameworks and architectures
- Learn about Large Language Models (LLMs)
- Explore AI deployment from cloud to edge
- Gain exposure to cybersecurity in AI systems
- Develop research and innovation capabilities
🧠 Key Topics Covered
- Data-Driven Decision Intelligence
- Advanced Machine Learning & Visual Intelligence
- AI Infrastructure & Digital Transformation
- Cloud, DevOps & Enterprise AI Systems
- Neural Networks & Limitations of ML Models
- Edge AI & Future Intelligent Systems
👨🏫 Expert Speakers
Sessions will be delivered by industry experts and academicians from leading organizations including:
- AppKorp, New York
- ITC Infotech, Bangalore
- NCS Group, Singapore
- Standard Chartered Bank
- Mizoram University
- Microchip Technology Inc.
🎓 Who Should Attend?
- Faculty Members
- Research Scholars
- Industry Professionals
- AI & Data Science Enthusiasts
💰 Registration Details
Last Date: 10 April 2026
E-Certificate will be provided
📈 Why You Should Not Miss This
With AI rapidly expanding across industries, this FDP provides a unique opportunity to bridge theoretical knowledge with real-world applications. Participants will gain insights into scalable AI systems, emerging technologies, and future-ready skills required in academia and industry.
If you're looking to stay ahead in AI research, teaching, or implementation, this FDP is a valuable opportunity.
