Udacity

Responsive Images (Udacity)

Offered by Udacity, Google,

Fewer Bytes, Faster Loads. Did you know that images account for more than 60% of the bytes on average needed to load a web page? In this course you will learn how to work with images on the modern web, so that your images look great and load quickly on any device. Along the way, you will pick up a range of skills and techniques to smoothly integrate responsive images into your development workflow. By the end of the course, you will be developing with images that adapt and respond to different viewport sizes and usage scenarios.

Class Deals by MOOC List - Click here and see Udacity's Active Discounts, Deals, and Promo Codes.

Quick load times and responsive content leads to higher conversions. There's much more to images on the web than . Attributes like srcset, markup techniques using CSS, fonts, and inline images, and the brand new element are now available to help you create the best possible experience for your users. This course will help you ensure that you deliver the highest quality images with the fewest possible bytes.

What You Will Learn

Lesson 1
Getting up and Running

Start debugging on your mobile devices to work with responsive images with Sam Dutton.
Get started with Developer Tools and mobile debugging.

Lesson 2
Units, Formats, Environments

Compare different kinds of images on the web and the units you can use to scale them.
Set up your development environment so that responsive images are a part of your workflow.
Apply responsive image principles in a real-world scenario!

Lesson 3
Images with Markup

Dive into using markup techniques like CSS and icon fonts to create responsive graphics.
Learn how to use markup techniques that are natively responsive and often extremely lightweight.
Replace extraneous images with markup techniques add social media icons to the responsive blog project!

Lesson 4
Full Responsiveness

Make your images fully responsive using the new element!
Learn to use the srcset and sizes attributes.
Make the blog project fully responsive by implementing to display beautiful images across a range of device widths and pixel ratios.

Go to Class

MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Udacity

Core ML: Machine Learning for iOS (Udacity)

Data Science

Use Apple's Core ML Framework in Your iOS Apps. In this short course, we'll show you how to incorporate Apple's Core ML framework into your app. You'll also get a quick overview of machine learning fundamentals, and exposure to real-world examples of companies using machine learning technology in their iOS apps.

Self Paced

Self-Paced

iOS Machine Learning Data Science

Udacity

Georgia Institute of Technology,Udacity

Software Analysis & Testing (Udacity)

CS: Software Engineering Computer Science

This course covers the theory and practice of software analysis, which lies at the heart of many software development processes such as diagnosing bugs, testing, debugging, and more. It presents diverse techniques, each with their own strengths and limitations, for automating tasks such as testing, debugging, and finding bugs in complex real-world programs. These techniques include dataflow analysis, constraint-based analysis, type systems, model checking, symbolic execution, and more. The course teaches the principles underlying these techniques as well as imparts hands-on experience with using and implementing tools based on these techniques.

Self Paced

Self-Paced

Testing Debugging Software Testing

Coursera

IE Business School

From Brand to Image: Creating High Impact Campaigns That Tell Brand Stories (Coursera)

Architecture & Design

There are many different ways to approach clients to assess their needs and develop creative campaigns which fulfill your creative desires. Many agencies have established methodology, terminology and processes, and oftentimes, have spent decades or even years developing these processes. However, whether you are a freelancer, designer, illustrator, photographer or marketing director, or perhaps a small business owner, you will be looking to develop a simple process to create campaigns for yourself or your client.

Sep 14th 2026

4 Weeks

Image Marketing Advertising

Coursera

IBM

IBM Data Topology (Coursera)

CS: Information & Technology

Every business and organization is facing new challenges with their data. Pressures related to regulation and compliance, leveraging AI, spanning multicloud environments, and increasing volumes of inaccessible data are forcing executives and administrators to either modernize their infrastructures or become obsolete.

Sep 14th 2026

1 Week

Artificial Intelligence Data Management Data Science

Udacity

Xcode Debugging (Udacity)

Computer Science

Print Statements, Breakpoints, and LLDB. "If debugging is the process of removing bugs, then programming must be the process of putting them in." Edsger W. Dijkstra Debugging is yin to programming's yang; you can't have one without the other. However, finding bugs in programs can be an incredibly frustrating and demotivating process for developers. This course will teach you a variety of techniques to help make debugging your code easier.

Self Paced

Self-Paced

Debugging Computer Science Xcode

Udacity

Introduction to Machine Learning Course (Udacity)

Data Science

This class will teach you the end-to-end process of investigating data through a machine learning lens. Learn online, with Udacity. Machine Learning is a first-class ticket to the most exciting careers in data analysis today. As data sources proliferate along with the computing power to process them, going straight to the data is one of the most straightforward ways to quickly gain insights and make predictions.

Self Paced

Self-Paced

Statistics Machine Learning Clustering

Coursera

Duke University,Emory University,University of North Carolina

Copyright for Multimedia (Coursera)

Film & Audio

Copyright questions about different formats (data, images, music and video) can be especially difficult. Sometimes the law specifically distinguishes between these different formats, and in most cases there are media-specific considerations that impact a copyright analysis. In this course we will look at four different media, paying special attention to the unique issues for each one and the kinds of information that is important when making copyright decisions for each type of material.

Sep 14th 2026

4 Weeks

Image Video Music

Coursera

University of London,Royal Holloway, University of London

Film, Images & Historical Interpretation in the 20th Century: The Camera Never Lies (Coursera)

Humanities

This course is a short taster on the topic of the use of Images, Film, and their use in historical interpretation in the 20th century. It is primarily provided for those who have a general interest in history that draws on photojournalism as primary evidence, and films based on historical events.

Sep 7th 2026

5-12 Weeks

Image History Film

Coursera

Johns Hopkins University

Introduction to Genomic Technologies (Coursera)

Statistics & Data Analysis Data Science

This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed.

Sep 14th 2026

4 Weeks

Biology DNA RNA

Coursera

University of Michigan

Applied Text Mining in Python (Coursera)

Statistics & Data Analysis Data Science

This course will introduce the learner to text mining and text manipulation basics. The course begins with an understanding of how text is handled by python, the structure of text both to the machine and to humans, and an overview of the nltk framework for manipulating text. The second week focuses on common manipulation needs, including regular expressions (searching for text), cleaning text, and preparing text for use by machine learning processes. The third week will apply basic natural language processing methods to text, and demonstrate how text classification is accomplished. The final week will explore more advanced methods for detecting the topics in documents and grouping them by similarity (topic modelling).

Sep 14th 2026

4 Weeks

Programming Python Machine Learning

Coursera

Duke University

Image and video processing: From Mars to Hollywood with a stop at the hospital (Coursera)

Engineering Sci: Mathematics

In this course, you will learn the science behind how digital images and video are made, altered, stored, and used. We will look at the vast world of digital imaging, from how computers and digital cameras form images to how digital special effects are used in Hollywood movies to how the Mars Rover was able to send photographs across millions of miles of space.

Sep 7th 2026

5-12 Weeks

Math Image Video

Udacity

Udacity,Insight

Spark (Udacity)

Data Science

Master how to work with big data and build machine learning models at scale using Spark! In this course, you’ll learn how to use Spark to work with big data and build machine learning models at scale, including how to wrangle and model massive datasets with PySpark, the Python library for interacting with Spark. In the first lesson, you will learn about big data and how Spark fits into the big data ecosystem. In lesson two, you will be practicing processing and cleaning datasets to get comfortable with Spark’s SQL and dataframe APIs. In the third lesson, you will debug and optimize your Spark code when running on a cluster. In lesson four, you will use Spark’s Machine Learning Library to train machine learning models at scale.

Self Paced

Self-Paced

Python Debugging Machine Learning