Course Details

Learn from IIT Faculty, Industry Experts & Campus Immersion at IIT Roorkee* (T/C Apply).

Mastering Computer Vision: Python, OpenCV & Neural Networks

Course Overview:
Today’s technical world relies heavily on Automation, AI & Data-driven decision making. Computer Vision, which is a critical pillar of AI, enables us to utilize and interpret visual data that is generated in huge amount across different platforms. The applications of Computer Vision span across industries, including autonomous vehicles, social media applications, medical imaging, Robotics, Augmented Reality and many more. Python programming is extensively used in Computer Vision due to the presence of a vast collection of libraries that help to interpret the visual data. Therefore, this course is designed to impart the learners the essential skills to master Computer Vision tasks using Python libraries, Neural Networks and Deep-Learning based approaches. The skills acquired from this course will open exciting career prospects in the ever-evolving fields of Data Science & AI

Course Objectives:
1. Understand the core concepts of computer vision and its applications in various industries. 2. Use Python libraries such as NumPy and OpenCV to effectively process image and video data. 3. Implement key image-processing operations (color transformations, blending, thresholding, morphological operators, etc.). 4. Perform real-time video analysis including object detection, tracking, and motion estimation. 5. Apply advanced models (CNNs, Autoencoders, Transfer Learning, YOLO) to solve complex vision problems. 6. Explore modern applications such as facial recognition, emotion detection, gesture/action recognition, and image segmentation.

Batch Details:
Class Timings: 7 pm – 9 pm (Saturdays) , 11 am- 1 pm (Sundays) Start Date: 13th Sept 2025
Duration: (48 Hours) End Date: 7th Dec 2025
Mode: Online Certification: iHUB Divyasampark IIT Roorkee
Last Date to Register: 12th Sept 2025
Course Fee: Students/PhD Scholars/RA/JRF/SRF/Postdoc fellows: Rs. 8,000/-
Faculty/Working Professional: Rs. 10,000/-
(Amounts inclusive of GST)

Link to Register: https://rzp.io/rzp/MasteringComputerVision

Contact Person:
Dr. Subrat Kotoky
CTO, Ritvij Bharat Private Limited
Ph.D. in Mechanical Engineering (IIT Guwahati)
rbpl.edu@gmail.com; subrat.kotoky@ritvij.co.in
9085317465/8473874389

Expert Profile:

Mr. Shreyas Shukla
Professional Corporate Trainer & Microsoft Azure Certified Data Engineer
MTech-IIT Kharagpur & BE- The Aeronautical Society of India, New Delhi
4+ years of experience in leading online professional courses for different leading organizations

Has successfully conducted 25+ courses and trained 1500+ learners in the fields of Python Programming, Data Analytics, Machine Learning, Deep Learning, Computer Vision etc. till now.

Certifications:
1. DP-203: Microsoft Certified: Azure Data Engineer Associate
2. DP-900: Microsoft Certified: Azure Data Fundamentals
3. AZ-900: Microsoft Certified: Azure Fundamentals

Our Students Rate This Course

4.5

Trainer

Mr. Shreyas Shukla

Program Fee

Rs 8,000/- & Rs. 10,000

Available Seats

100

Schedule

13th Sept 2025 to 7th Dec 2025

Only Few Seats Left

What is included in this course?

Program Certificate form iHUB DivyaSampark, IIT Roorkee
Live & Self Paced learning for better engagement
No repetitive calls, only as per convenience
Opportunity to meet your mentors through Campus Immersion
25+ hand-on project with integrated labs

Apply Now To Secure a Seat!

Reviews

Testimonials

Module 1

Basics of Python Language

Basics of Python Language
Python objects with details of Numbers/Variables/Strings/Lists/Dictionaries/Tuples etc.
Variable Assignment Indexing & Slicing
Comparison & Logical operators
Range, List Comprehension
Functions, Lambda expressions etc.
NumPy and Matplotlib Libraries
Random Functions, Reshape, Arithmetic Operations

Module 2

Introduction to OpenCV

Introduction to OpenCV
Image processing with NumPy and OpenCV
Grayscale and Colour spectrum (RGB, BGR, HSV etc.)
Basic Shapes, Text and Polygons
Color Mappings, Blending and Pasting
Image Thresholding, Blurring & Smoothing

Morphological Operators and Gradients

Module 3

Cascade Classifier

Cascade Classifier
Face and Eye Detection using Haar cascade and OpenCV
Histograms of Oriented Gradients (HOG)
Face detection with HOG, Dlib and CNN
Local Binary Pattern Histogram (LBPH)
Detecting Facial Points and Descriptors

Object Tracking & Object Detection

Module 4

Neural Network Fundamentals

Neural Network Fundamentals
Artificial Neuron, Perceptron, Weights
Activation Functions, Hidden Layers, Loss Function
Gradient Descent, Back-propagation and Learning Rate
Bias, Error and Multiple OutputsFeat

Feature Extraction, Designing and Evaluating Neural Networks on Images and Videos

Module 5

Convolution: Pooling, Flattening, Padding

Convolution: Pooling, Flattening, Padding
Extracting Pixels, Normalization, Building Network, Generating Images
Transfer Learning and Fine Tuning
Pre-Trained Neural Networks
Working with Videos and detecting Objects
Classifying Emotions in Images and Videos

Module 6

AutoEncoders, Encoding and Decoding Images, Convolutional Auto-encoders

AutoEncoders, Encoding and Decoding Images, Convolutional Auto-encoders
YOLO, Dealing with Darknet and GPU,
Threshold and ext-output parameters
Gestures and Actions recognition
Deep Dream with InceptionNet framework
Style Transfer with VGG19 network

Image Segmentation

NEWS & UPDATES

Career Transitions

55% Average Salary Hike

$1,27,000 Highest Salary

800+ Career Transitions

300+ Hiring Partners

Who Can Apply for the Course?

Basic knowledge on Python programming will be useful but not mandatory. We’ll start from scratch.
This course can be taken up by any undergraduate/postgraduate student of Basic & Applied Sciences, Engineering, and Computer Applications and also by Research Scholars/Faculties/Working Professionals who want to upskill themselves
Participants need to have a laptop/PC (with a minimum of 4 GB RAM, 100 GB HDD, Intel i3processor) and proper internet/Wi-Fi connection.

About Program

This program by iHub Divya Sampark, IIT Roorkee helps you gain the data analytics, machine learning, and artificial intelligence skills sought after by top employers.