AI with Computer Vision
Step by step, you'll move from basic image processing to advanced deep learning and 3D vision, with hands-on practice and projects. Build real-world vision systems used in industry applications.
Who Can Join?
This program is perfect for:
What You'll Learn
Step by step, you'll move from basic image processing to advanced deep learning and 3D vision:
Image Processing Fundamentals
Image representation, filtering, and enhancement using OpenCV
Feature Detection & Matching
SIFT, SURF, ORB, and modern feature extraction techniques
Object Detection & Recognition
YOLO, R-CNN, and state-of-the-art detection algorithms
Deep Learning for Vision
CNNs, transfer learning, and custom model training
Image Segmentation
Semantic and instance segmentation using U-Net and Mask R-CNN
3D Computer Vision
Stereo vision, depth estimation, and 3D reconstruction
Real-time Applications
Video processing, tracking, and live camera applications
Deployment & Optimization
Model optimization, edge deployment, and production systems
What You'll Be Able to Do
After completing this program, you'll be able to:
Hands-On Projects
You'll work on real-world projects that reflect actual industry use cases:
Facial Recognition System
Build a complete face detection and recognition pipeline
Autonomous Navigation System
Develop navigation algorithms for robots using computer vision
Object Tracking Application
Create real-time object tracking for surveillance systems
Medical Image Analysis Tool
Analyze medical images for diagnostic assistance
3D Point Cloud Recognition
Process and classify 3D point cloud data
Course Information
Prerequisites
- Basic Python programming knowledge
- Understanding of linear algebra and calculus
- Familiarity with machine learning concepts
- Basic understanding of neural networks