Electronics and ICT Academy

(An Initiative of Ministry of Electronics and Information Technplogy (MeitY), Govt. of India)

Joint Two Weeks Online Certificate Programme

Machine Learning for Computer Vision

February 1-12, 2021

Jointly organised by IIT Guwahati, IIT Kanpur, MNIT Jaipur, NIT Patna and PDPM IIITDM Jabalpur

About Electronics & ICT Academy at IIITDM Jabalpur

Department of Electronics and Information Technology, Government of India has instituted four Electronics and ICT Academies with one academy at IIITDM Jabalpur. Primary objective of the academy is to prepare manpower for two important missions - 'Digital India' and 'Make in India'. The Academy aims at the design and implementation of scalable training programmes in niche areas of electronics and ICT for the development of required knowledge base, skills and tools to unleash the talent of Indian population. In addition to this, the academy conducts training programmes and research promotion workshops in different emerging areas of technology and science for corporate sector and educational institutions. The Academy is envisioned to become a central hub of activities on training, consultancy work and entrepreneurship programmes.

About IIITDM Jabalpur

Institute of Information Technology Design and Manufacturing Jabalpur (IIITDMJ), established by MHRD Govt. of India in collaboration with Govt. of Japan in 2005 with a focus on education and research in IT enabled Design and Manufacturing. The Institute offers undergraduate, post graduate and PhD programmes in Design, Computer Science and Engineering, Electronics and Communication Engineering, Mechanical Engineering and PhD in Natural Sciences. To build strong partnership with industry, Institute offers six months long internship to the UG/PG students as part of their curriculum. Under IIIT act, the Institute has been declared an Institute of National Importance in January 2015. The Institute campus is being developed on 250 acres of land next to Dumna Nature Park. The lush greenery campus provides an ideal setting for learning and creativity.

Key Features:
  • Online / Live lectures sessions by subject experts.
  • Comprehensive tutorials and practice notes.
  • Online lab and training sessions.
  • Follow up sessions and discussion forums on research problems and internships.
Course Contents


Module Name



Introduction to Image Processing and Computer Vision (CV)

Digital Image and Computer Vision, Main Goals and challenges of the CV, Structure of Human Eye and Vision, Color Models, Image Processing Goals and Tasks.  


Traditional approaches in CV

Feature Extraction using local patterns and their applications to Image Processing and CV:  SIFT, HOG, LBP, Natural Image Classification, Image Enhancement, edge Detection, Segmentation. Image denoising


Introduction to Artificial Intelligence (AI) and Machine Learning (ML)

AI and ML, Supervised and Unsupervised Learning, Traditional ML approaches, Neural Network as a learning machine, Machine learning applications in computer vision. Image classification, Image segmentation etc.


Applications of
ML in Medical Images

Challenges in Medical image processing, ML for Medical Image processing, Medical image segmentation, classification and survival prediction, Medical image denoising, Medical image retrieval


Introduction to Deep Learning (DL)

Basic differences between Conventional ML and DL approaches, Feed forward Neural Networks (NN), Back propagation, Stochastics gradient method and variants, regularization, and optimization,  Vanishing /exploding gradient problem.


Introduction to Convolutional Neural Network

The Convolution Operation, Basic architecture of a Convolution Neural Network, Pooling and Batch Normalization layers, CNNs as feature extractors, Image classification using CNN, Image Enhancement and Segmentation.


CNN architectures for CV

State of the Art CNN Architectures,  CNN for Image Enhancement and Segmentation.


Applications of CNN in face recognition

Face Detection and Recognition using CNN, Siamese Network and Triplet Loss.


Course Fee Details:

Academic (student/faculty): 500 INR
Industry People : 1000 INR
Others : 1000 INR

Online payment details
Bank Name: Allahabad Bank \Indian Bank
A/C No. : 50302042708
IFSC Code: ALLA0212433
Brach Name: Mehgawan, IIITDM Branch
(Allahabad bank is merged with Indian Bank from April 1, 2020)

Principal Coordinator :

  • Prof. Aparajita Ojha, IIITDM Jabalpur

Joint Principal Coordinator :

  • Dr. Santosh Viparthi, MNIT Jaipur

For more details visit: http://ict.iiitdmj.ac.in
Contact No.:: 8458849734, 9425800334 Email: academyiiitdmj@gmail.com