Overview
Ever wondered how machines 'see' and understand the world around them like humans?
This course equips you with an in-depth understanding of computer vision methodologies and state-of-the-art technologies, alongside hands-on experience in crafting vision systems to tackle real-world challenges.
This course is tailored to those aiming to conceive, develop, and assess intelligent solutions across diverse vision system applications. The curriculum is thoughtfully balanced between theoretical lectures and practical workshops. Key topics include foundational concepts and techniques for vision systems, feature extraction, and representation.
Moreover, the course delves into leveraging machine learning for vision tasks such as classification, detection, and segmentation. Participants will also learn to design, construct, and evaluate effective real-time vision systems while respecting Fairness, Accountability, Transparency, and Ethics (FATE) values.
Upcoming Classes
Class 1: 10 Jan to 7 Feb 2026 (Part-Time | MTech)
Duration: 5 Days
When: Jan 10, 17, 24, 31, Feb 7
Mode of Conduct: Face-to-Face
Time: 9:00am to 5:30pm

Registration Instructions
Self-sponsored Participants
- Register for the course by clicking on the "Register Now" button above
- You may refer to the User Guide for Learner
Company-sponsored Participants
- You will have to be registered for the course by someone from your company who has an account on the LifeLong Learning Portal (L³AP)
- The person in-charge may register you for the course by:
- Generating a corporate registration link for you to register for the course
- After the link is generated, you must:
- Log in to L³AP by clicking on the "Register Now" button
- Click on the corporate registration link after logging in
- If you do not follow the above instructions, you will be registered for the course as self-sponsored
- Registering you for the course backend
- You will still be required to log in to L³AP and complete your registration by clicking on the "Register Now" button above
- You may refer your HR/L&D POC to the User Guide for Company