40 hrs
This NPTEL course from IIT Kharagpur dives deep into how machines learn to see and understand images. You'll master Convolutional Neural Networks (CNNs), image segmentation, and generative models—the core techniques powering everything from medical imaging to autonomous vehicles. NPTEL's reputation for rigorous, university-level education means you're learning from the same standards as India's top engineering colleges.
You're a solid fit if you've got the fundamentals down and want to specialize in visual AI. Whether you're a student preparing for tech placements, a working engineer looking to upskill, or someone pivoting into AI—this course will give you the hands-on depth that makes a real difference on projects and interviews.
You'll need comfort with linear algebra, calculus, and Python programming. A basic understanding of machine learning concepts (training, validation, loss functions) will help you move faster. If you're rusty, a quick refresher on these topics will prepare you well.
Computer vision is one of the fastest-growing specializations in India's AI job market. Companies across industries—e-commerce (Amazon, Flipkart), automotive (Tesla, Bajaj), healthcare (Apollo, Max hospitals), and emerging startups—are building teams around visual AI and hiring aggressively. Engineers with deep learning and computer vision skills command significant salaries and have far more career options than generalists. This course gives you the exact expertise that translates directly to job opportunities in these sectors.
Yes. NPTEL courses are completely free to audit and learn from. You can access all materials, lectures, and assignments at no cost.
The course is designed for 40 hours of effort. Spreading this over 8–10 weeks means roughly 4–5 hours per week—a manageable pace if you're working or studying alongside it.
Yes. Upon completion, NPTEL will issue you a certificate that you can share with employers and on your resume. It carries real weight, especially in India, because of NPTEL's academic credibility.