Visual AI

Computer Vision

Teach machines to see and understand the visual world through advanced image processing and AI

14 Weeks
Intermediate
Specialized Certificate

Program Overview

Our Computer Vision program focuses on teaching machines to interpret and understand visual information from the world around us. You'll learn to build systems that can recognize objects, detect faces, analyze medical images, and even create augmented reality applications.

This comprehensive program covers image processing fundamentals, convolutional neural networks, object detection, image segmentation, and advanced topics like 3D vision and video analysis. You'll work with industry-standard tools like OpenCV, TensorFlow, and PyTorch to build real-world computer vision applications.

25+
CV Algorithms
12
Hands-on Projects
97%
Success Rate

Computer Vision Pipeline

Curriculum

From image processing basics to advanced computer vision applications

1

Image Processing Fundamentals

Weeks 1-3
  • Digital image representation and formats
  • Image enhancement and filtering
  • Edge detection and feature extraction
  • Morphological operations
  • OpenCV basics and image manipulation
2

Feature Detection & Matching

Weeks 4-5
  • Corner detection (Harris, FAST)
  • Scale-invariant feature transform (SIFT)
  • Speeded up robust features (SURF)
  • Feature matching and homography
  • Image stitching and panorama creation
3

Convolutional Neural Networks

Weeks 6-8
  • CNN architecture for image classification
  • Transfer learning and pre-trained models
  • Data augmentation techniques
  • Popular CNN architectures (ResNet, DenseNet)
  • Image classification projects
4

Object Detection & Recognition

Weeks 9-10
  • R-CNN family (R-CNN, Fast R-CNN, Faster R-CNN)
  • YOLO (You Only Look Once) algorithm
  • SSD (Single Shot Detector)
  • Face detection and recognition
  • Real-time object detection systems
5

Image Segmentation

Weeks 11-12
  • Semantic segmentation with FCN
  • Instance segmentation with Mask R-CNN
  • U-Net for medical image segmentation
  • Panoptic segmentation
  • Interactive segmentation techniques
6

Advanced Topics & Applications

Weeks 13-14
  • 3D computer vision and depth estimation
  • Video analysis and action recognition
  • Generative models for images (GANs, VAEs)
  • Augmented reality and computer vision
  • Capstone project and deployment

Skills You'll Master

Comprehensive computer vision expertise

Image Processing

  • OpenCV
  • Image Enhancement
  • Feature Detection
  • Morphological Ops

Object Detection

  • YOLO
  • R-CNN Family
  • SSD
  • Face Recognition

Image Segmentation

  • Semantic Segmentation
  • Instance Segmentation
  • U-Net
  • Mask R-CNN

Video Analysis

  • Action Recognition
  • Motion Detection
  • 3D Vision
  • AR Applications

Real-World Projects

Build practical computer vision applications

Medical Image Analysis

Develop AI systems for medical image diagnosis using deep learning and computer vision techniques.

U-Net Medical Imaging

Autonomous Vehicle Vision

Build computer vision systems for autonomous vehicles including lane detection and obstacle recognition.

YOLO Real-time Processing

Retail Analytics

Create smart retail systems for customer behavior analysis, inventory management, and checkout automation.

Object Detection Tracking

AR Face Filters

Develop augmented reality face filters and effects using computer vision and 3D face modeling.

Face Detection 3D Modeling

Career Outcomes

Exciting opportunities in computer vision

Computer Vision Engineer

Develop AI systems for image and video analysis

$95,000 - $180,000

Autonomous Vehicle Engineer

Build vision systems for self-driving cars

$110,000 - $220,000

Medical AI Specialist

Develop AI solutions for medical imaging

$100,000 - $190,000

AR/VR Developer

Create immersive experiences with computer vision

$85,000 - $160,000

Ready to Give Machines Vision?

Join the computer vision revolution and build the next generation of visual AI systems.

Enroll Now Learn More