Computer Vision Courses and Certifications

Advanced Computer Vision - Spring 2021

Dive into adversarial machine learning, explainable AI, and robust neural network architectures through cutting-edge research papers and advanced computer vision techniques.

• YouTube
• 12 hours 40 minutes
• On-Demand
• Free Video

Computer Vision - Fall 2020

Master computer vision fundamentals from linear algebra to advanced neural networks, covering filtering, edge detection, CNNs, PyTorch, object detection, and segmentation techniques.

• YouTube
• 1 day 4 hours 50 minutes
• On-Demand
• Free Video

University of Tübingen

Computer Vision

Explore image formation, structure-from-motion, stereo reconstruction, graphical models, and shape-from-X techniques in this comprehensive introduction to computer vision fundamentals.

• YouTube
• 15 hours
• On-Demand
• Free Online Course

Great Learning

Computer Vision Tutorial - Image Processing - Convolution Neural Network

This Computer Vision Tutorial will introduce you Computer Vision and take you deep into concepts and practical implementation of the subject.

• YouTube
• 3 hours 14 minutes
• On-Demand
• Free Video

Alexander Amini;  MIT

Computer Vision Meets Social Networks

Explore the intersection of computer vision and social networks, covering low-light enhancement, pose estimation, video attractiveness, classification, captioning, and natural language localization.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Murtaza's Workshop - Robotics and AI

3D Head Tracking with Car Movement - Computer Vision

Learn 3D head tracking and car movement in computer vision, integrating face detection with Unity for interactive camera control and smooth motion simulation.

• YouTube
• 56 minutes
• On-Demand
• Free Video

Keith Galli

Solving Real World Data Science Problems With Python - Computer Vision Edition

Learn to build and improve convolutional neural networks for computer vision tasks using Python, TensorFlow, and Keras. Explore data augmentation, preprocessing, and network architecture optimization techniques.

• YouTube
• 1 hour 22 minutes
• On-Demand
• Free Video

Hackaday

Kickstarting Computer Vision with the OpenMV

Explore the journey of OpenMV, a computer vision project, from Hackaday Prize entry to successful product launch, overcoming challenges in manufacturing and community management.

• YouTube
• 21 minutes
• On-Demand
• Free Video

Augmented Startups

How to Install Detectron2 for Computer Vision with OpenCV Python - Part 2

Step-by-step guide to installing Detectron2 for computer vision projects using OpenCV and Python, covering essential requirements, software setup, and testing procedures.

• YouTube
• 32 minutes
• On-Demand
• Free Video

CodeEmporium

Computer Vision 101 - Neural Networks

Explore computer vision fundamentals through neural networks, covering eye structure, visual pathways, CNNs, object detection, and advanced architectures like ResNet and YOLO.

• YouTube
• 8 hours 47 minutes
• On-Demand
• Free Video

NPTEL;  IIT Guwahati

Computer Vision and Image Processing - Fundamentals and Applications

Comprehensive exploration of computer vision and image processing, covering fundamentals, techniques, and applications. Includes image formation, enhancement, segmentation, feature extraction, machine learning, and deep learning for visual data analysis.

• YouTube
• 1 day 13 hours
• On-Demand
• Free Video

Bespoke Datasets for Multimodal AI Products

Discover how to create custom datasets for AI products using text, video, and audio data to gain competitive advantages and improve accuracy in multimodal applications.

• Udacity
• 6 hours
• On-Demand
• Paid Course

Edge Detection in Computer Vision - Part I - Lecture 6

Comprehensive exploration of edge detection in computer vision, covering types, applications, algorithms, and evaluation methods. Includes real-world examples and practical insights for implementation.

• YouTube
• 1 hour 11 minutes
• On-Demand
• Free Video

Image Filtering in Computer Vision - Part II - Lecture 5

Explore advanced image filtering techniques, including derivative operations, Gaussian smoothing, and various filter types. Learn their applications and properties in computer vision.

• YouTube
• 1 hour 10 minutes
• On-Demand
• Free Video

Introduction to Computer Vision - Part II - Lecture 2

Explore computer vision fundamentals, deep learning applications, and advanced topics like object detection, segmentation, and action recognition in images and videos.

• YouTube
• 58 minutes
• On-Demand
• Free Video