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Udacity Introduction to Computer Vision

Free

Become a Computer Vision Expert

FreeFree tier
Type
Open Source
Company
Udacity
Visit Website GitHub (40 stars)

About Udacity Introduction to Computer Vision

The Udacity Computer Vision Nanodegree program is a comprehensive, advanced course that teaches the computer vision skills behind robotics and automation. Students learn to write programs analyzing images, implement feature extraction, and recognize objects using deep learning models. The curriculum covers image representation, convolutional filters, edge detection, feature vectors, CNN architectures (including Faster R-CNN and YOLO), recurrent neural networks for image captioning, and advanced topics like SLAM and attention mechanisms. The program includes 3 hands-on projects (e.g., facial keypoint detection), 11 courses, and 39 lessons, with expert mentor feedback and career coaching. It is part of a subscription bundle or available as a one-time payment for an individual course.

Key Features

27 skills covered including SLAM, object detection, object localization, attention mechanisms, feature matching
Hands-on projects with expert feedback (e.g., facial keypoint detection)
Curriculum developed with top industry experts
Personalized career coaching and interview prep
Unlimited access to hundreds of top-rated courses
Learn advanced CNN architectures like Faster R-CNN and YOLO
Combine CNN and RNN for image captioning applications
Optional cloud computing with AWS for GPU training
Program certificates upon completion

Pros & Cons

Pros
  • Comprehensive curriculum covering both fundamentals and advanced topics
  • Hands-on projects that build a portfolio
  • Mentor support and career coaching included
  • Self-paced learning with unlimited access
  • Created in collaboration with top tech companies
Cons
  • Requires strong prerequisite knowledge (OOP, Python, probability, arithmetic)
  • Full Nanodegree program is paid (individual course purchase available)
  • Time commitment of approximately 37 hours, which may be challenging for some learners
  • Not a beginner-friendly course; expects intermediate programming skills

Best For

Object detection and recognition in images and videoRobotics and automation applicationsImage segmentation and feature extractionFacial keypoint detectionBuilding automatic image captioning systemsMulti-object detection using YOLO modelAdvanced computer vision research and development

FAQ

What are the prerequisites for this program?
The prerequisites include object-oriented programming basics, intermediate Python, basic arithmetic, and basic probability. You also need to be able to communicate fluently and professionally in written and spoken English.
What skills will I learn?
You will learn 27 skills including SLAM, object detection, object localization, attention mechanisms, feature matching, convolutional filters, edge detection, image segmentation, CNN layers, and feature vectors.
How long does the program take?
The Nanodegree program is estimated to take 37 hours to complete. It contains 11 courses, 39 lessons, and 3 projects.
Is this program free?
No, the Nanodegree program is offered through a subscription bundle (monthly or annual) or as a one-time payment for an individual course. Udacity also offers some free programs, but this specific Computer Vision Nanodegree is paid.