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Computer Vision Nanodegree Program

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$941

$800

15% OFF

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Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Effort

15 hours per week

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Teaching Type

Self Paced

Course Description

This program will help you to improve your machine learning and deep learning skills by adding computer vision theory and programming techniques. This computer vision knowledge can be used in many applications, including image and video processing and autonomous vehicle navigation. Medical diagnostics and smartphone apps are just a few examples. The program does not prepare you to work in a particular career. Instead, it will help you to increase your computer vision skills and deepen your learning. This term consists of three courses and three projects. Each course is described below. A project is a great way to show your skills. Each project will add to your impressive portfolio, which will demonstrate to potential employers that you are an expert in computer vision and deep learning.

Careervira Take

Offered by Udacity, this program helps learners write programs to analyze images, implement feature extraction, and recognize objects using deep learning models. We recommend this course to all who have Intermediate to advanced Python experience. This Nanodegree program accepts all applicants regardless of experience and specific background. Industries, tech firms, start-ups and government agencies are areas where one can work as an artificial intelligence analyst.

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Course Credibility

The completion of this certificate renders a certificate from Udacity, an American educational organization t...
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Pedagogy

The professors associated with this course have degrees from renowned institutions in cloud development. The ...
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Hands-on training

The modules of this course are detail-oriented, comprehensive and practical. Apart from theoretical concepts,...
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Career impact

This certification course will help the learners grow their skill set. The learners will learn some popular i...
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Pricing

The course is three months long and offers limited access to course material. It is priced at a lower amount ...
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Assessment

The assessment method involves completing assignments and undertaking projects under various modules througho...

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Instructor-Moderated Discussions

Skills You Will Gain

Prerequisites/Requirements

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Intermediate to advanced Python experience You are familiar with object-oriented programming

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You can write nested for loops and can read and understand code written by others

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Intermediate statistics background

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You are familiar with probability

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Intermediate knowledge of machine learning techniques

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You can describe backpropagation, and have seen a few examples of neural network architecture (like a CNN for image classification)

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You have seen or worked with a deep learning framework like TensorFlow, Keras, or PyTorch before

What You Will Learn

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Master computer vision

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image processing essentials

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Learn to extract important features from image data

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apply deep learning techniques to classification tasks

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Learn to apply deep learning architectures to computer vision tasks

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Discover how to combine CNN and RNN networks to build an automatic image captioning application

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Learn how to locate an object and track it over time

Target Students

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This Nanodegree program accepts all applicants regardless of experience and specific background

Course Instructors

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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.
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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 a...
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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.
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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 a...

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Course Reviews

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$941

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