[Udacity] Computer Vision Nanodegree v4.0.0

Nanodegree Program–nd891

Become a Computer Vision Expert

Master the computer vision skills behind advances in robotics and automation. Write programs to analyze images, implement feature extraction, and recognize objects using deep learning models.
  • Estimated Time
    3 Months

    At 10-15 hrs/week

  • Enroll by

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python, Statistics, Machine Learning, & Deep Learning

In collaboration with

Nvidia Deep Learning Institute

What You Will Learn


Foundations of Computer Vision

Learn cutting-edge computer vision and deep learning techniques—from basic image processing, to building and customizing convolutional neural networks. Apply these concepts to vision tasks such as automatic image captioning and object tracking, and build a robust portfolio of computer vision projects.

Work on a variety of computer vision and deep learning applications from basic image processing to automatic image captioning.

3 Months to complete

Prerequisite Knowledge

This program requires experience with Python, statistics, machine learning, and deep learning.

  • Introduction to Computer Vision

    Master computer vision and image processing essentials. Learn to extract important features from image data, and apply deep learning techniques to classification tasks.

    Facial Keypoint Detection

  • Advanced Computer Vision and Deep Learning

    Learn to apply deep learning architectures to computer vision tasks. Discover how to combine CNN and RNN networks to build an automatic image captioning application.

    Automatic Image Captioning

  • Object Tracking and Localization

    Learn how to locate an object and track it over time. These techniques are used in a variety of moving systems, such as self-driving car navigation and drone flight.

    Landmark Detection & Tracking

Learn with the best


Sebastian Thrun


As the founder and president of Udacity, Sebastian’s mission is to democratize education. He is also the founder of Google X, where he led projects including the Self-Driving Car, Google Glass, and more.


Cezanne Camacho

Curriculum Lead

Cezanne is an expert in computer vision with a Masters in Electrical Engineering from Stanford University. As a former researcher in genomics and biomedical imaging, she’s applied computer vision and deep learning to medical diagnostic applications.


Alexis Cook

Curriculum Lead

Alexis is an applied mathematician with a Masters in Computer Science from Brown University and a Masters in Applied Mathematics from the University of Michigan. She was formerly a National Science Foundation Graduate Research Fellow.


Juan Delgado

Content Developer

Juan is a computational physicist with a Masters in Astronomy. He is finishing his PhD in Biophysics. He previously worked at NASA developing space instruments and writing software to analyze large amounts of scientific data using machine learning techniques.


Jay Alammar


Jay has a degree in computer science, loves visualizing machine learning concepts, and is the Investment Principal at STV, a $500 million venture capital fund focused on high-technology startups.


Ortal Arel

Curriculum Lead

Ortal Arel has a PhD in Computer Engineering, and has been a professor and researcher in the field of applied cryptography. She has worked on design and analysis of intelligent algorithms for high-speed custom digital architectures.


Luis Serrano


Luis was formerly a Machine Learning Engineer at Google. He holds a PhD in mathematics from the University of Michigan, and a Postdoctoral Fellowship at the University of Quebec at Montreal.

Get started with

Computer Vision


Learn the essentials of computer vision, including image transformation, neural network architectures, and object recognition


Average Time
On average, successful students take null months to complete this program.


Benefits include
  • Real-world projects from industry experts
  • Technical mentor support
  • Personal career coach & career services


  • Financial support available worldwide to help in this challenging time
  • Spend your time at home learning new, higher-paying job skills
  • Commit to a brighter future by learning today

Program Details

  • Why should I enroll in this program?
    The demand for engineers with computer vision and deep learning skills far exceeds the current supply. This program offers a unique opportunity to develop these in-demand skills and is for anyone seeking to launch or advance their skills in modern computer vision techniques. You’ll complete several computer vision applications using a combination of Python, computer vision, and deep learning libraries that will serve as portfolio pieces that demonstrate the skills you’ve acquired.


Size: 2.66GB


Updated Course: https://www.udacity.com/course/computer-vision-nanodegree–nd891


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