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Become a Computer Vision Expert

Nanodegree Program

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.

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05Days07Hrs48Min20Sec

  • Estimated time
    3 Months

    At 10-15 hrs/week

  • Enroll by
    August 24, 2022

    Get access to classroom immediately on enrollment

  • Prerequisites
    Python, Statistics, Machine Learning, & Deep Learning
In collaboration with
  • Affectiva
  • Nvidia Deep Learning Institute

What you will learn

  1. Foundations of Computer Vision

    3 Months to complete

    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.

    Prerequisite knowledge

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

    1. 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.

    2. 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.

    3. 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.

All our programs include:

  • Real-world projects from industry experts

    With real-world projects and immersive content built in partnership with top-tier companies, you’ll master the tech skills companies want.

  • Technical mentor support

    Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you, and keeping you on track.

  • Career services

    You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

  • Flexible learning program

    Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

Program offerings

  • Student services

    • Technical mentor support
    • Student community
  • Career services

    • Github review
    • Linkedin profile optimization
  • Class Content

    • Content co-created with Affectiva
    • Real-world projects
    • Project reviews
    • Project feedback from experienced reviewers

Succeed with personalized services.

We provide services customized for your needs at every step of your learning journey to ensure your success.

Get timely feedback on your projects.

  • Personalized feedback
  • Unlimited submissions and feedback loops
  • Practical tips and industry best practices
  • Additional suggested resources to improve
  • 1,400+

    project reviewers

  • 2.7M

    projects reviewed

  • 88/100

    reviewer rating

  • 1.1 hours

    avg project review turnaround time

Mentors available to answer your questions.

  • Support for all your technical questions
  • Questions answered quickly by our team of technical mentors
  • 1,400+

    technical mentors

  • 0.85 hours

    median response time

Learn with the best.

Learn with the best.

  • Sebastian Thrun

    Instructor

    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

    Instructor

    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

    Instructor

    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.

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    Best Value
  • Learn

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

    On average, successful students take 3 months to complete this program.
  • Benefits include

    • Real-world projects from industry experts
    • Technical mentor support
    • Career services

Program Details

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Become a Computer Vision Expert

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