Become a Computer Vision Expert

Program overview: Why should I take this program?

• 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.

• What jobs will this program prepare me for?

  This program is designed to build on your skills in machine learning and deep learning. As such, it doesn't prepare you for a specific job, but expands your skills in the computer vision domain. These skills can be applied to various applications such as image and video processing, automated vehicles, smartphone apps, and more.

• How do I know if this program is right for me?

  If you’re new to Computer Vision, and eager to explore applications like facial recognition and object tracking, the Computer Vision Nanodegree program is an ideal choice. The curriculum introduces you to image analysis with Python and OpenCV, then goes on to cover deep learning techniques that can be applied to a variety of image classification and regression tasks. Over the course of the program, you’ll leverage your Python coding experience to build a broad portfolio of applications that showcase your newly-acquired Computer Vision skills.

Enrollment and admission

• Do I need to apply? What are the admission criteria?

  No. This Nanodegree program accepts all applicants regardless of experience and specific background.

• What are the prerequisites for enrollment?

  You must have completed a course in Deep Learning equivalent to the Deep Learning Nanodegree program prior to entering the program. Additionally, you should have the following knowledge: Intermediate Python programming knowledge, including:

  • Strings, numbers, and variables
  • Statements, operators, and expressions
  • Lists, tuples, and dictionaries
  • Conditions, loops
  • Generators & comprehensions
  • Procedures, objects, modules, and libraries
  • Troubleshooting and debugging
  • Research & documentation
  • Problem solving
  • Algorithms and data structures

  Basic shell scripting:

  • Run programs from a command line
  • Debug error messages and feedback
  • Set environment variables
  • Establish remote connections

  Basic statistical knowledge, including:

  • Populations, samples
  • Mean, median, mode
  • Standard error
  • Variation, standard deviations
  • Normal distribution

  Intermediate differential calculus and linear algebra, including:

  • Derivatives & Integrals
  • Series expansions
  • Matrix operations through eigenvectors and eigenvalues

• If I don’t meet the requirements to enroll, what should I do?

  We have a number of courses and programs we can recommend that will help prepare you for the program, depending on the areas you need to address. For example:

  • Intro to Machine Learning
  • Intro to Data Science
  • Intro to Programming Nanodegree program
  • Data Analyst Nanodegree program
  • Artificial Intelligence Programming with Python Nanodegree program
  • Machine Learning Engineer Nanodegree program
  • Deep Learning Nanodegree program

Tuition and term of program

• How is this Nanodegree program structured?

  The Computer Vision Nanodegree program is comprised of content and curriculum to support three (3) projects. We estimate that students can complete the program in three (3) months working 10 hours per week.

  Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.

• How long is this Nanodegree program?

  Access to this Nanodegree program runs for the length of time specified above. If you do not graduate within that time period, you will continue learning with month-to-month payments. See the Terms of Use and FAQs for other policies regarding the terms of access to our Nanodegree programs.

• Can I switch my start date? Can I get a refund?

  Please see the Udacity Program FAQs for policies on enrollment in our programs.

• I have graduated from the Computer Vision Nanodegree program but I want to keep learning. Where should I go from here?

  Many of our graduates continue on to our Artificial Intelligence Nanodegree program, Natural Language Processing Nanodegree Program, Robotics Engineer Nanodegree program, and our Self-Driving Car Engineer Nanodegree programs. Feel free to explore other Nanodegree program options as well.

Software and hardware: What do I need for this program?

• What software and versions will I need in this program?

  You will need a computer running a 64-bit operating system (most modern Windows, OS X, and Linux versions will work) with at least 8GB of RAM, along with administrator account permissions sufficient to install programs including Anaconda with Python 3.5 and supporting packages. Your network should allow secure connections to remote hosts (like SSH). We will provide you with instructions to install the required software packages. Udacity does not provide any hardware.