RCreative Architects | IT CADDESK Centre
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Active Course

Computer Vision & Deep Learning

6 to 8 Months
Mode: Offline Classroom Training
Certificate included
Expert instructor

About this course

An advanced specialization course in Computer Vision and Deep Learning using Python, OpenCV, PyTorch, Convolutional Neural Networks (CNNs), object detection (YOLO), and image segmentation.

Course Curriculum

• Computer Vision Fundamentals • What is Computer Vision? • Introduction to Deep Learning • Artificial Intelligence vs Machine Learning vs Deep Learning • Evolution of Computer Vision • Human Vision vs Computer Vision • Image Processing vs Computer Vision • Real-World Applications • AI in Healthcare, Security & Manufacturing • Computer Vision Workflow • Career Opportunities in Computer Vision

• Python Foundations • Python Refresher • NumPy for Image Processing • Array Operations • Matrix Operations • Mathematical Functions • File Handling • Object-Oriented Programming Basics • Virtual Environments • Jupyter Notebook • Google Colab • Scientific Computing Libraries • NumPy • Pandas (Basics) • Matplotlib • OpenCV Installation • Pillow (PIL) • ImageIO • Scikit-Image (Introduction)

• Image Fundamentals • Understanding Digital Images • Pixels & Resolution • RGB, Grayscale & HSV Color Spaces • Image Formats • Color Channels • Histograms • Image Transformations • Brightness & Contrast Adjustment • Gamma Correction • Image Resizing • Cropping & Rotation • Image Filtering • Image Enhancement • Thresholding • Blurring Techniques • Sharpening • Edge Detection • Contour Detection • Morphological Operations • Noise Removal • Histogram Equalization • Perspective Transformations • Image Segmentation Basics

• OpenCV Fundamentals • Introduction to OpenCV • Reading & Writing Images • Image Display • Video Processing • Webcam Integration • Drawing Shapes • Image Manipulation • Video Frame Processing • Real-Time Video Analysis • Performance Optimization • OpenCV Applications • Face Detection • Eye Detection • Smile Detection • Motion Detection • Object Tracking • Background Removal • QR Code Detection • Barcode Detection • OCR Basics • Gesture Recognition

• Mathematical Foundations • Linear Algebra • Matrices & Vectors • Matrix Multiplication • Eigenvalues & Eigenvectors • Probability Basics • Statistics • Calculus Fundamentals • Derivatives • Partial Derivatives • Chain Rule • Gradient Descent • Optimization Concepts

• Deep Learning Fundamentals • Introduction to Neural Networks • Artificial Neurons • Network Architecture • Forward Propagation • Backpropagation • Activation Functions • Loss Functions • Optimizers • Learning Rate • Epochs & Batch Size • Regularization • Dropout • Batch Normalization • Deep Learning Frameworks • TensorFlow • Keras • PyTorch • GPU Acceleration • CUDA (Introduction) • Google Colab GPU • Model Training Workflow • Saving & Loading Models

• CNN Fundamentals • Introduction to CNNs • Convolution Layers • Filters & Kernels • Feature Maps • Pooling Layers • Flatten Layer • Fully Connected Layers • CNN Architecture • Image Classification • Model Evaluation • Popular CNN Architectures • LeNet • AlexNet • VGGNet • GoogLeNet • ResNet • EfficientNet • MobileNet • DenseNet • Transfer Learning • Fine-Tuning Pretrained Models

• Object Detection • Introduction to Object Detection • Bounding Boxes • Anchor Boxes • Non-Maximum Suppression (NMS) • YOLO Fundamentals • YOLOv8 • SSD • Faster R-CNN • Real-Time Object Detection • Object Tracking • Image Segmentation • Semantic Segmentation • Instance Segmentation • Mask R-CNN • U-Net • Medical Image Segmentation • Industrial Inspection • Segmentation Evaluation Metrics

• Face & Image Recognition • Face Detection • Face Recognition • Facial Landmark Detection • Emotion Recognition • Age & Gender Prediction • Image Similarity • Image Retrieval • Visual Search • OCR Systems • Document Analysis • Video Analytics • Video Classification • Human Activity Recognition • Pose Estimation • Crowd Analysis • Traffic Monitoring • Vehicle Detection • License Plate Recognition • Surveillance Systems • Sports Analytics • Retail Analytics

• Modern Vision AI • Vision Transformers (ViT) • Segment Anything Model (SAM) • CLIP Models • Multimodal AI • Image Captioning • Visual Question Answering • Image Generation Concepts • Image-to-Image AI • AI Image Enhancement • Foundation Vision Models • Generative AI Integration • ChatGPT for Vision Applications • Gemini Vision • Claude Vision • AI-Assisted Image Annotation • AI Dataset Preparation • AI Model Evaluation • AI Code Generation • AI Research Assistance

• Production Deployment • Dataset Preparation • Data Annotation • Model Evaluation • Accuracy Metrics • Precision & Recall • F1 Score • IoU (Intersection over Union) • Confusion Matrix • Model Optimization • ONNX Export • TensorRT (Introduction) • Edge AI Concepts • Deployment • Flask Deployment • FastAPI Deployment • REST APIs • Real-Time Inference • Docker Basics • Cloud Deployment • Mobile Deployment Concepts • Performance Monitoring

Hands-on Projects

Face Recognition Attendance System
AI-Based Object Detection System
Real-Time Vehicle Detection
Number Plate Recognition System
Human Pose Detection
Medical Image Classification
AI Defect Detection for Manufacturing
OCR-Based Document Scanner
AI-Powered Security Surveillance System
Smart Traffic Monitoring System
Retail Customer Analytics
Image Classification Platform
Visual Search Engine
End-to-End Computer Vision Application

Key Skills Covered

  • Digital Image Processing
  • OpenCV Computer Vision
  • Convolutional Neural Networks (CNNs)
  • Object Detection & Tracking (YOLO/SSD)
  • Image Segmentation & Classification
  • Deep Learning with PyTorch & TensorFlow
  • Edge AI & Real-world Deployment

Technologies Covered

Python NumPy Pandas OpenCV Pillow Scikit-Image TensorFlow Keras PyTorch CUDA Google Colab Jupyter Notebook YOLOv8 Faster R-CNN SSD ResNet MobileNet EfficientNet U-Net Mask R-CNN Vision Transformers (ViT) Segment Anything Model (SAM) CLIP ONNX Flask FastAPI Docker ChatGPT Gemini Vision Claude Vision

Course Details

Duration

6 to 8 Months

Certificate

Upon completion

Start Date

Flexible

Instructor

CDC Training Services Pvt.Ltd

Interested in this course?

What's included:
  • Lifetime access
  • Certificate of completion
  • Expert instruction
  • Practical projects
  • 24/7 support
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