About Electronics & ICT Academy at PDPM IIITDM Jabalpur
The Ministry of Electronics and Information Technology (MeitY), Government of India established Electronics and ICT Academies in 2015 to promote skill development in electronics and ICT.
The academy at PDPM IIITDM Jabalpur focuses on scalable training programs to build expertise in cutting-edge areas of electronics and ICT. It serves as a hub for capacity building through training, internships, research, and consultancy programs. These programs cater to students, faculty, and professionals, fostering innovation in electronics, information, and communication technologies.
About ABV-IIITM Gwalior
Atal Bihari Vajpayee – Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior is an autonomous institution established by the Government of India (MHRD, now the Ministry of Education) in 1997. The institute integrates management and information technology education, offering advanced research and consultancy opportunities. It aims to develop professionals in IT, business management, and teaching positions through high-quality academic programs.
Online Faculty Development Programme (FDP) on Reliable Artificial Intelligence Applications for Autonomous Systems
Jointly Organized by:
- ABV-IIITM Gwalior
- Electronics and ICT Academy, IIITDM Jabalpur
(An Initiative of the Ministry of Electronics and Information Technology, Government of India)
Programme Details:
- Dates: 12th – 18th April 2025
- Mode: Online
- Who Can Attend: Faculty, Research Scholars (Ph.D.)
- Timings:
- Morning Session: 09:00 AM – 01:15 PM
- Evening Session: 02:30 PM – 05:45 PM
About the FDP
The Department of Computer Science and Engineering is offering this FDP to equip participants with deep learning techniques for autonomous systems. The program covers theory, hands-on projects, and case studies to enhance knowledge in:
- Self-driving vehicles, drones, robotics, and medical imaging
- Neural networks, deep learning architectures (CNNs, RNNs, transformers)
- Optimization techniques, feature extraction, and object detection
- Sensor integration (LiDAR, Radar, Cameras)
By the end of the course, participants will be proficient in designing, training, and implementing AI-driven autonomous systems—valuable skills for those seeking research positions in AI-driven disciplines.
Course Contents
- Introduction to Autonomous Systems (self-driving cars, drones, robotics)
- Fundamentals of AI & Deep Learning in Autonomy
- Neural Networks: Perceptrons, Activation Functions, Loss Functions
- Deep Learning Architectures: CNNs, RNNs, Transformers
- Image Processing & Feature Extraction
- Object Detection & Segmentation: YOLO, Faster R-CNN basics
- Introduction to Sensors: LiDAR, Radar, Cameras
Hands-On Sessions
- Training a Basic Neural Network for Autonomous Perception
- Object Detection & Segmentation (YOLO, Faster R-CNN)
- Implementing CNNs for Image Recognition
- Sensor Fusion for Reliable Perception
- AI-Based Anomaly Detection in Autonomous Systems
Programme Features
- Expert-led sessions by faculties from IITs, IIITs, NITs, and industry experts
- Rigorous hands-on training using Python & Google Colab
- E-certificate upon successful completion
- Limited Seats (50 participants) – First Come First Serve Basis
How to Apply
- Registration Link: Click Here to Register
- Registration Fee: ₹500/-
- Last Date for Registration: 07th April 2025
- Seats Limited to 50 (First come, first serve)
Payment Details
- Beneficiary Name: ABV IIITM FDP Account
- Bank Name: Bank of India
- Account Number: 945210110009380
- IFSC Code: BKID0009462
- Bank Address & Branch: IIITM Branch, Gwalior
- UPI ID: boim-945263969380@boi
Resource Persons & Coordinators
- Dr. D. K. Dewangan (CSE, ABV-IIITM Gwalior)
- Contact: 9669734590
- Email: deepakd@iiitm.ac.in
- Dr. V. Tiwari (CSE, ABV-IIITM Gwalior)
- Contact: 9630246099
- Email: vivektiwari@iiitm.ac.in
- Prof. Vijay Kumar Gupta (IIITDM Jabalpur)
- Contact: 7612794413
- Email: vkgupta@iiitdmj.ac.in
Important Link:
- Official Notification: CLICK HERE
- Registration Link: CLICK HERE
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