OpenCV – Use in AI
Mastering Image Processing and Computer Vision with AI
MODE
Online/ e-LMS
Online/ e-LMS
TYPE
Mentor Based
Mentor Based
LEVEL
Advanced
Advanced
DURATION
8 weeks
8 weeks
Batches
Spring
Summer
Live
Autumn
Winter
Program Aim
To enable learners to apply OpenCV for enhancing real-world applications through artificial intelligence in image and video processing.
About Program
This course offers an in-depth exploration of OpenCV, focusing on its powerful capabilities in handling and manipulating visual data using AI. Participants will learn to implement AI-driven solutions to solve complex visual recognition tasks, enhancing automation and innovation in various industries.
Program Objectives
- Develop a robust understanding of OpenCV functionalities and its application in AI.
- Master advanced image and video analysis techniques.
- Implement practical AI solutions integrating OpenCV for industry-specific problems.
Program Structure
- Introduction to OpenCV: Understanding the basics, installation, and setup.
- Image Manipulation and Processing: Techniques for color transformations, thresholding, and advanced image manipulation.
- Feature Detection and Description: Methods for identifying and matching features in images for detailed analysis.
- Video Analysis: Techniques for video data manipulation, motion detection, and object tracking.
- Applications of OpenCV in AI: Implementing real-time face recognition and augmented reality, integrating with AI frameworks like TensorFlow and PyTorch.
- Project and Implementation: Designing and executing a complete AI project using OpenCV, from concept to deployment.
Participant’s Eligibility
- Students and professionals in computer science, engineering, and related fields keen on mastering AI-driven image and video analysis.
- IT professionals looking to enhance their skills in computer vision and artificial intelligence.
Program Outcomes
- Proficiency in using OpenCV for artificial intelligence applications.
- Enhanced skills in designing and implementing robust AI-driven visual recognition systems.
- Capability to innovate and improve industry-standard practices using AI and computer vision.
Fee Structure
Standard Fee: INR 49,998 USD 1,300
Discounted Fee: INR 24999 USD 650
Certificate
Program Assessment
- Assignments: Practical tasks after each module, focusing on implementing OpenCV techniques.
- Quizzes: Module-end quizzes to test theoretical knowledge and practical skills.
- Final Project: A comprehensive project involving OpenCV to address a real-world problem, assessed on creativity, functionality, and impact.
Program Deliverables
- Comprehensive video lectures and hands-on sessions.
- Real-time case studies and live project work.
- Continuous learning support through interactive platforms and expert feedback.
Placement Assistance
- Industry Networking: Connect with industry experts and organizations utilizing AI in visual technologies.
- Career Development: Guidance on advancing careers in AI and computer vision.
Future Career Prospects
- Computer Vision Engineer
- AI Application Developer
- Robotic Process Automation Specialist
