40 hrs
LearnOpenCV offers production-quality computer vision tutorials crafted by Satya Mallick, a recognized authority in the field. This course teaches you how to build real-world applications using OpenCV, the industry standard for image and video processing. Whether you're working on object detection, image filtering, or video analysis, you'll learn from tutorials designed for practical implementation, not just theory.
You should take this course if you already understand Python basics and want to apply computer vision to real problems. This is ideal for programmers moving beyond beginner level, or professionals pivoting into AI and vision work.
You should be comfortable with Python programming, basic linear algebra (matrices and vectors), and foundational programming concepts. No prior computer vision experience needed.
Computer vision skills are in high demand across India's growing tech ecosystem. Companies like Amazon (AWS Rekognition), Microsoft India, and hundreds of startups in Bangalore, Hyderabad, and Mumbai are hiring engineers who can build vision systems for security, autonomous vehicles, and retail automation. Startups in agricultural tech, surveillance, and robotics often seek developers with exactly these OpenCV skills. Salaries for computer vision engineers in India typically range from ₹8–20 lakhs annually, with senior roles commanding significantly more. This course gives you practical, resume-ready expertise without the expensive degree programs or bootcamps.
Yes, completely free. All tutorials and code are accessible at no cost on LearnOpenCV's website.
The course is structured for approximately 40 hours of learning. At a steady pace of 5–7 hours per week, you could complete it in 6–8 weeks while balancing other commitments.
No formal certificate is offered by LearnOpenCV, but you'll build real projects and gain verifiable skills you can showcase in your portfolio or on GitHub.