The Faculty Development Programme (FDP) on Edge AI for Smart Sensors & Secure Autonomous Systems is a cutting-edge initiative designed to enhance the skills and knowledge of faculty members in the rapidly evolving fields of IoT, machine learning, and cybersecurity. Scheduled from June 1-10, 2026, this online programme is jointly organized by the Electronics and ICT Academy at IIITDM Jabalpur and ABV-IIITM Gwalior, under the aegis of the Ministry of Electronics and Information Technology, Government of India.
Programme Overview
The FDP aims to equip participants with the expertise needed to design intelligent sensor-based systems, deploy AI models on edge devices, and ensure secure communication in autonomous environments. Through a blend of theoretical knowledge and hands-on sessions, attendees will develop practical skills, enhance their research capabilities, and align their curriculum with industry needs and next-generation smart technologies.
Who Can Attend?
- Faculty from polytechnic, science and engineering colleges, universities, and technical and professional institutes.
- Researchers and industry personnel working in allied disciplines.
Programme Features
- Expert lectures and hands-on lab sessions.
- Real-world case studies on Edge AI, IoT, and cybersecurity.
- Interactive discussions and mini-projects.
- Exposure to modern tools and platforms.
- Certificates awarded upon successful completion.
Course Contents
- Introduction to Smart Sensors & Edge Intelligence
- Sensor Technologies & Signal Processing
- ESP32, ARM Cortex, Raspberry Pi, Real-time OS basics
- Communication interfaces (I2C, SPI, UART)
- Tiny ML for embedded systems
- Model Deployment on Edge Devices
- IoT Communication Protocols
- IoT & Edge Threat Landscape
- Hardware security modules
- ML-based anomaly detection
- Edge-based intrusion detection
- Federated learning basics
- Cloud Integration & Advanced Topics
- Latency & performance benchmarking
- Debugging embedded AI models
- Sensors & AI in Autonomous Robotics
- Blockchain & Trust Models for IoT
- Edge intelligence in robotics
- Lightweight Cryptography for IoT
- Post Quantum Cryptography for IoT
- Blockchain in IoT
Hands-On Sessions
- Arduino Programming: Algorithms, Sensor Interfacing, and Real-Time Applications
- Interfacing sensors with ESP32/Raspberry Pi
- Simulation of Cloud/Edge Continuum Scenarios
- Optimization Tools
- Hardware security modules
- Edge-based intrusion detection
- Lightweight Cryptography for IoT
- Post Quantum Cryptography for IoT
- Blockchain in IoT
Registration Details
Interested participants can register for the programme by filling out the registration form available at the following link: https://forms.Rle/roqaKPB5keMRXp9CA. The registration fee is INR 500/- for online participation.
Last Date for Registration: May 30, 2026
Tentative Session Timings: Session 1 – 4:00 PM to 6:00 PM, Session 2 – 6:30 PM to 8:30 PM
Online Payment Details
• Internet banking
Beneficiary Name – PDPMIIITDM Jabalpur
Bank Name- INDIAN BANK
A/C No. -50018692852
IFSC Code- IDIB000M694
Beneficiary Name PDPMIIITDM Jabalpur
• UPI ID: iiitdmj@indianbk
Contact Information
academy@iiitdmj.ac.in, eict@iiitdmj.ac.in
nitish.andola@iiitdmj.ac.in
bhanuchander@iiitm.ac.in
📠 Phone Number
7898670354
Address
PDPM IIITDM Jabalpur Campus, Khamaria, Jabalpur, Chakdehi, Madhya Pradesh – 482005
Conclusion
The Faculty Development Programme on Edge AI for Smart Sensors & Secure Autonomous Systems offers a unique opportunity for faculty and industry professionals to advance their knowledge and skills in critical areas of technology. By participating, attendees will not only enhance their teaching and research capabilities but also contribute to the development of innovative solutions in the fields of IoT, AI, and cybersecurity.
Official Source / Reference
Electronics and ICT Academy at IIITDM Jabalpur and ABV-IIITM Gwalior invite applications from eligible candidates for the Faculty Development Programme on Edge AI for Smart Sensors & Secure Autonomous Systems.
For more details, view the Official Notification.







