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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study, Virtual Classroom	Video and Text Based

Course Overview

The Machine Learning for Computer Vision training is a 2-week online certificate programme offered by PDPM IIITDM Jabalpur. The programme aims to imbue you with essential machine learning skills, especially in the context of computer vision.

The Machine Learning for Computer Vision course syllabus focuses on both theoretical and practical aspects of machine learning. During the course, you will learn concepts like supervised learning, unsupervised learning, feature extraction, image classification, deep learning, and much more.

Moreover, the Machine Learning for Computer Vision programme also features dedicated online lab and training sessions to help you develop the necessary practical expertise required in the industry. The course content will be delivered online, which you can attend from the comfort of your home.

The Machine Learning for Computer Vision certification programme also has a discussion forum wherein you can engage with your peers and talk about research problems and internships.

The Highlights

Online/Live lectures sessions by experts.
Comprehensive tutorials
Extensive practice notes
Online lab sessions
Training sessions
Follow up sessions
Discussions on research problems and Internships

Programme Offerings

Online/Live lectures sessions by experts
comprehensive tutorials
Extensive practice notes
Online lab sessions
Training sessions
Follow up sessions
Discussions on research problems and Internships

Courses and Certificate Fees

Certificate Availability	Certificate Providing Authority
yes	IIITDM Jabalpur

Machine Learning for Computer Vision course fee varies for faculty/students and industry professionals.

Machine Learning for Computer Vision fee structure

Course	Fee in INR
Machine Learning for Computer Vision (for faculty/students)	Rs. 500
ICT Tools for Teaching, Learning process & Institutes (for others and industry professionals)	Rs. 1000

What you will learn

Machine learningKnowledge of Artificial IntelligenceKnowledge of deep learning

By the end of the Machine Learning for Computer Vision training, you will have in-depth knowledge about concepts like:

Machine learning applications in computer vision
Artificial intelligence
Conventional approaches in computer vision
Machine learning for medical images
Convolutional neural networks (CNN)
CNN architecture
CNN for face recognition

Admission Details

Here are the steps you need to follow to enrol in the Machine Learning for Computer Vision programme:

Head over to the course website: https://www.iiitdmj.ac.in/ict.iiitdmj.ac.in/ML-CV/
Click on the “Registration Form” option at the top of the page
Fill the application form and pay the course fee.
After that, you will be enrolled in the programme

Application Details

When you click on the ‘Registration Form’ option on the Machine Learning for Computer Vision course page, you will be redirected to a Google form. The form requires you to specify your name, email ID, affiliation/institute/organisation name, designation, city/state, address, gender, mobile number, caste category, and NEFT transaction ID.

You’ll also have to upload your identity proof and proof of payment.

The Syllabus

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

Feature Extraction using local patterns and their applications to Image Processing and CV

SIFT
HOG
LBP
Natural Image Classification
Image Enhancement
Edge Detection
Image Denoising
Segmentation

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

Medical image Denoising
ML for Medical Image processing
Challenges in Medical image processing
Classification and survival prediction
Medical image segmentation
Medical image retrieval

Feedforward Neural Networks (NN)
Basic differences between Conventional ML and DL approaches
Stochastic gradient method and variants
Backpropagation
Vanishing/exploding gradient problem
Regularisation and optimisation

The basic architecture of a Convolution Neural Network
The Convolution Operation
CNNs as feature extractors
Pooling and Batch Normalisation layers
Image Enhancement and Segmentation
Image classification using CNN

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

Siamese Network and Triplet Loss
Face Detection and Recognition using CNN

Instructors

IIITDM Jabalpur Frequently Asked Questions (FAQ's)

1: What’s the duration of the Machine Learning for Computer Vision programme?

The course is two weeks long.

2: Who are the speakers?

Prof. Shantanu Chaudhury, Professor Barbara Zitova, Professor Hironobu Fujiyoshi, Prof. Aparajita Ojha, Dr Santosh Viparthi, and Dr Prithvijit Guha are the course speakers.

3: What’s the course fee?

You’ll have to pay Rs. 1000 if you’re an industry professional or someone who doesn’t belong to academia. If you’re a student or a teacher, you only need to pay Rs. 500.

4: Is a course brochure available?

Yes, you can download it using this link: https://www.iiitdmj.ac.in/ict.iiitdmj.ac.in/ML-CV/Joint%20fdp_eict_JAN2021.pdf

5: Do I have to visit a classroom for this course?

No, the programme is completely online.