Free Coupon Code Practical Computer Vision Mastery: 20+ Python & AI Projects 100% OFF

Udemy Free coupon code for Practical Computer Vision Mastery: 20+ Python & AI Projects course taught by Muhammad Yaqoob G, which has 1,486 students and is rated 4.4 out of 67 votes. This course is about 15 hour(s) 43 minute(s) in English and was updated on January 13, 2026. You can use this Udemy course with a free certificate and find the coupon at the bottom of this page.

Master Computer Vision Course in 2025 with Deep Learning, Python, OpenCV, YOLO, OCR & GUI through 20+ handson projects

Unlock the power of image- and video-based AI in 2025 with 20 real-time projects that guide you from foundational theory to fully functional applications. Designed for engineering and science students, STEM graduates, and professionals switching into AI, this hands-on course equips you with end-to-end computer vision skills to build a standout portfolio.

Key Highlights:

• Environment Setup & Basics: Install Python, configure VS Code, and master OpenCV operations—image I/O, color spaces, resizing, thresholding, filters, morphology, bitwise ops, and histogram equalization.

• Core & Advanced Techniques: Implement edge detection (Sobel, Canny), contour/corner/keypoint detection, texture analysis, optical flow, object tracking, segmentation, and OCR with Tesseract.

• Deep Learning Integration: Train and deploy TensorFlow/Keras models (EfficientNet-B0) alongside YOLOv7-tiny and YOLOv8 for robust detection tasks.

• GUI Development: Build interactive Tkinter interfaces to visualize live video feeds, detection results, and system dashboards.

20 Hands-On Projects Include:

• Smart Face Attendance with face enrollment, embedding extraction, model training, and GUI integration.

• Driver Drowsiness Detection using EAR/MAR algorithms and real-time alert dashboards.

• YOLO Object & Weapon Detection pipelines for live inference and visualization.

• People Counting & Entry/Exit Tracking with configurable line-coordinate logic.

• License-Plate & Traffic Sign Recognition leveraging Roboflow annotations and custom model training.

• Intrusion & PPE Detection for workplace safety monitoring.

• Accident & Fall Detection with MQTT alert systems.

• Mask, Emotion, Age/Gender & Hand-Gesture Recognition using custom-trained vision models.

• Wildlife Identification with EfficientNet-based classification in live streams.

• Vehicle Speed Tracking using calibration and object motion analysis.

By course end, you’ll be able to:

• Develop, train, and fine-tune deep-learning vision models for diverse real-world tasks.

• Integrate CV pipelines into intuitive GUIs for live video applications.

• Execute industry-standard workflows: data annotation, training, evaluation, and deployment.

• Showcase a portfolio of 20 complete projects to launch or advance your AI career.

Enroll today and start building your first real-time computer vision app!