Modern Computer Vision with OpenCV 2025
Udemy Coupon Code for Modern Computer Vision with OpenCV 2025 Course. OpenCV, Learn Custom Object Detection and Tracking with YOLO11 & YOLOv5, and Build Web Apps with OpenCV and Streamlit
Created by Muhammad Moin | 10 hours on-demand video course
Computer Vision Course Overview
Modern Computer Vision with OpenCV 2025
Welcome to “Modern Computer Vision with OpenCV”! This course starts with the basics of OpenCV, where you’ll learn different functions and create various applications. We’ll then move on to more advanced projects, including math with gestures using AI, building a real-time gesture-controlled spin wheel with OpenCV and MediaPipe, and estimating object distances with ML Depth Pro and YOLO11. You’ll also develop a tennis analysis system and a pool shot predictor.
What you’ll learn
- Understand basics of OpenCV
- Use OpenCV to create Advanced Projects/ Applications including Math with Gestures using AI, Gesture-Controlled Spin Wheel
- Create Real World Applications using OpenCV
- YOLO11: Cutting-edge Object Detection
- Training, fine tuning and analyzing your own custom object detection, segmentation and pose estimation models
- Estimate Real Distance to Objects with ML Depth Pro and YOLO11
- Learn how to develop a Tennis Analysis System using YOLO, OpenCV, and PyTorch.
- Learn how to build a Pool Shot Predictor with OpenCV
Recommended Computer Vision Courses
YOLO11: Custom Object Detection & Web Apps in Python 2024 Hot & NEW
YOLOv9 & YOLOv10: Learn Object Detection, Tracking & WebApps
Modern Computer Vision with OpenCV Course Review
Everything You Need to Know About Modern Computer Vision with OpenCV 2025
This course offers a comprehensive and well-structured introduction to Computer Vision. Mohammad Moin, the instructor, brings a wealth of expertise in Development, making this course both informative and engaging.
The course structure is easy to follow. Each section, for example, covers a different aspect of Computer Vision Course, ensuring a logical progression through the material. It includes video lectures, readings, and hands-on exercises, which make complex concepts accessible and practical.
Moreover, The Instructors explains each topic clearly and concisely. He supports the lessons with plenty of examples and exercises, which help students grasp the material effectively.
What I appreciated most about this course is its practical focus. For instance, the instructor emphasizes teaching skills and knowledge that are directly applicable to real-world scenarios. Additionally, students gain access to helpful resources such as templates, checklists, and cheat sheets.
Another standout feature is the platform itself. Udemy offers flexibility, allowing students to learn at their own pace and access course materials from anywhere with an internet connection. Furthermore, the multiple payment options make it easy for students to choose a plan that suits their budget.
In addition, the course community is highly active, with forums where students can ask questions and engage with peers. The instructor, consequently, is very responsive and addresses student inquiries and feedback promptly.
Overall, I highly recommend the Modern Computer Vision with OpenCV 2025 to anyone looking to learn Computer Vision This well-organized and practical course equips you with the skills and knowledge you need to succeed in this field.
