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Quick Facts

Medium Of Instructions	Mode Of Learning	Mode Of Delivery
English	Self Study	Video and Text Based

Course Overview

High Dynamic Range imaging (HDR), image stabilisation, autofocus, shot bracketing and deploying filters are changing the world of photography. Optical processes are being replaced by digital computation to make the image appear almost magical. The Computational Photography course by Udacity aims at imparting knowledge of this field without any fees.

This is an intermediate level course. Within a period of four months, you will learn all the core AI concepts of computational photography via rich learning content, instructor videos, interactive quizzes, and practical exercises. One of the major Computational Photography course benefits is that it offers a self-paced learning model, thus allowing you to focus on key challenge areas better.

The entire course curriculum will be delivered via nine lessons, each lesson covering specific sub-lessons. However, you will have to meet the Computational Photography course eligibility criteria before enrolling. To know all about how the course aids in starting or boosting your career, get in touch with Udacity’s expert team.

The Highlights

4-month course duration
Free of cost
Intermediate level
Self-paced learning model
Rich learning content
Interactive quizzes
Industry-best instructors
Learn-by-doing exercises
Instructor videos
AI concepts covered

Programme Offerings

Top professors
Self-paced learning
No Course Fee

Courses and Certificate Fees

Certificate Availability
no

Computational Photography course fee structure

Course	Fees
Computational Photography	Free

Eligibility Criteria

To enroll for the Computational Photography course by Udacity, you need to ensure that you have knowledge of college-level calculus and linear algebra. This includes matrices, differentiation and integration, and vectors, as the focus will be on applying these mathematics concepts. You should also be familiar with vectors and optics of Physics as well as distributions and density functions of probability theory.

Additionally, there are software-knowledge requirements as well – you should know how to work using Python or MATLAB.

Before you take the course, check whether you meet the tech requirements for Udacity by using their online technology compatibility checker.

What you will learn

Knowledge of photography

You will know the following once you have completed the Computational Photography online course –

Relationship between the human visual system and pictorial techniques
Intrinsic limitations of 2D representations and possible compensations for the same
Technical issues involved in capturing light to create images
Technical aspects of rendering and image capturing
Exploration of how the above can be used to its maximum potential

Admission Details

Visit the course website – https://www.udacity.com/course/computational-photography--ud955.
Get started by creating an account with Udacity or logging into your existing account.
You can even use your Google or Facebook account to sign up.
Before you enroll, do ensure you use the technology compatibility checker to see if you meet the tech requirements for Udacity.

Application Details

You need to fill a simple application in the form of a signup form. For this, details such as your full name, email address, and a self-made password will be needed. However, you can skip this process and directly sign up using your Google or Facebook account.