Contact Us
Expert Level

Advanced Deep Learning and Computer Vision

Master cutting-edge computer vision techniques from advanced CNN architectures to generative adversarial networks. Build industry-ready solutions covering object detection, image segmentation, video analytics, and vision transformers with real-world applications across manufacturing, healthcare, and security domains.

Object Detection & Segmentation
GANs & Generative Models
Video Analytics & Action Detection
Ethics & Fairness in Vision AI

This advanced course combines theoretical depth with practical implementation, covering the latest research in computer vision while addressing critical aspects of ethics, bias, and regulatory compliance in AI systems.

Talk to our advisor

IN +91
Advanced Deep Learning and Computer Vision Course

Course Overview

Key Features

  • Advanced 10-Lesson Computer Vision Curriculum from fundamentals to cutting-edge applications
  • State-of-the-Art Architecture Training including VGG, ResNet, Inception, and Vision Transformers
  • Industry-Focused Applications covering manufacturing, retail, healthcare, and security domains
  • Comprehensive Project Pipeline from image handling to complete vision solution deployment
  • Ethics and Responsibility Focus addressing bias, transparency, and regulatory compliance
  • Real-World Capstone Project building end-to-end computer vision solution for industry dataset

Skills You'll Master

  • Advanced CNN Architectures: VGG, ResNet, Inception implementation and model selection strategies
  • Object Detection Mastery: Bounding box techniques, YOLO/SSD frameworks, and detection metrics
  • Image Segmentation: Semantic vs instance segmentation, U-Net architecture, and healthcare applications
  • Generative Models: GAN architecture design, training stability techniques, and image generation
  • Modern Vision Techniques: Self-attention mechanisms, Vision Transformers, and temporal video modeling
  • Specialized Applications: Video analytics, action detection, domain adaptation, and fine-tuning optimization

Curriculum Details

Eligibility:
Strong foundation in deep learning and computer vision basics
Prerequisites:
Experience with CNN architectures and deep learning frameworks
Duration:
10 advanced lessons + comprehensive capstone project
Download Complete Curriculum