EdX

Introduction to Web Development with HTML5, CSS3, and JavaScript (edX)

Offered by IBM,
Introduction to Web Development with HTML5, CSS3, and JavaScript (edX)

Learn the key tools and programming languages to bootstrap your career as a Cloud Developer. Get started with web development using HTML5, CSS3, JavaScript and GitHub. Want to take the first steps to become a Cloud Application Developer? This self-paced online course will lead you through the programming languages and tools you will need to develop your own Cloud and Web Applications.

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

Beginning with an explanation of how internet servers, and clients work together to deliver applications to users, this course takes you through the context for application development in the Cloud, introducing front-end, back-end, and full stack development.
You’ll then focus on the languages you need for front-end development, working with HTML5, CSS3, and JavaScript.
Finally, you will discover tools such as Git, GitHub, and GitLab, that help you to store your projects and keep track of changes made to project files (version control) and enable collaboration and continuos deployment.
This course is part of the following programs:

What you'll learn

  • Understand the Cloud Development Ecosystem and Terminology like front-end developer, back-end, server-side, full stack, etc.
  • Become familiar with the developer tools and IDEs used by web programmers
  • Work with programming languages used by front-end developers for creating user interfaces
  • Practice and develop hands-on skills to work with HTML, CSS and JavaScript
  • Manage and version control your projects with Git and GitHub

Syllabus

Module 1: Introduction to Programming for the Cloud
Cloud Application Development for Beginners
Front-end Development
Back-end and server-side Development
Programming Languages, Tools and Frameworks

Module 2: HTML5 and CSS3 Overview
Introduction to HTML and HTML tags
HTML5 Management & Support, Scripting
CSS: Styling HTML

Module 3: JavaScript Programming for Web Applications
JavaScript Overview
JavaScript Variables and Control Statements
JavaScript Functions and APIs
Client-side JavaScript, DOM objects

Module 4: HTML5 Elements
HTML5 tags and structural elements
HTML5 Input Elements and data Attributes

Module 5: GitHub
Introduction to Git and GitHub
Repositories and Branches
Managing GitHub Projects

Module 6: Final Assignment

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

Related Courses

CS50's Introduction to Computer Science (edX) EdX
HarvardX,Harvard University

CS50's Introduction to Computer Science (edX)

An introduction to the intellectual enterprises of computer science and the art of programming. This is CS50, Harvard University's introduction to the intellectual enterprises of computer science and the art of programming for majors and non-majors alike, with or without prior programming experience. An entry-level course taught by David J. Malan, CS50 teaches students how to think algorithmically and solve problems efficiently.

Self Paced
Self-Paced
MATLAB et Octave pour débutants (edX) EdX
École Polytechnique Fédérale de Lausanne,EPFLx

MATLAB et Octave pour débutants (edX)

Premiers pas dans MATLAB et Octave avec un regard vers le calcul scientifique. Commencer à utiliser un logiciel est toujours délicat, on ne sait jamais par où commencer. Dans ce cours nous allons nous concentrer sur la maîtrise d’Octave et MATLAB, de façon à pouvoir par la suite continuer à apprendre de manière indépendante.

Self Paced
Self-Paced
Probability and Statistics in Data Science using Python (edX) EdX
University of California, San Diego,UC San DiegoX

Probability and Statistics in Data Science using Python (edX)

Using Python, learn statistical and probabilistic approaches to understand and gain insights from data. The job of a data scientist is to glean knowledge from complex and noisy datasets. Reasoning about uncertainty is inherent in the analysis of noisy data. Probability and Statistics provide the mathematical foundation for such reasoning.

Self Paced
Self-Paced
Introduction to Management Information Systems (MIS): A Survival Guide (edX) EdX
Universidad Carlos III de Madrid - UC3M,UC3Mx

Introduction to Management Information Systems (MIS): A Survival Guide (edX)

Gain the skills and knowledge needed to succeed in an MIS-dominated corporate world. This MIS course will cover supporting tech infrastructures (Cloud, Databases, Big Data), the MIS development/ procurement process, and the main integrated systems, ERPs, such as SAP®, Oracle® or Microsoft Dynamics Navision®, as well as their relationship with Business Process Redesign.

Self Paced
Self-Paced
How to Code: Simple Data (edX) EdX
The University of British Columbia,UBCx

How to Code: Simple Data (edX)

Learn systematic program design - how to write programs that tell a clear story about what they do, are well-tested, and easy to improve. This programming course takes a unique approach, as it focuses on learning a systematic programming method rather than a programming language. This practical approach will help you channel your creativity so that you can program well in any language.

Self Paced
Self-Paced
Introduction to Cloud Computing (edX) EdX
IBM

Introduction to Cloud Computing (edX)

Master the core concepts in Cloud Computing, from service and deployment models, to cloud architecture, security, new technologies, and possible careers. This course introduces you to the core concepts of cloud computing. You will gain the foundational knowledge required for understanding cloud computing from both business and practitioner perspectives.

Self Paced
Self-Paced
Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics (edX) EdX
Georgia Institute of Technology,GTx

Introduction to Object-Oriented Programming with Java I: Foundations and Syntax Basics (edX)

Learn the foundational basics of the Java programming language. This course provides an introduction to the Java programming language. It gives students a foundational overview and history of Java, and students will learn about the language’s basic syntax. At the end, they will be able to develop interactive console programs with basic data processing and formatting capabilities.

Self Paced
Self-Paced