Schedule today!

Call Peggy at
  (800) 252-0652

Contact Us

More Web Tools

Related Courses

Web and Mobile Technology Overview

Recommended Duration:
2-3 Days
Participants are exposed at a high-level to the concepts and tools of web and mobile technology including: TCP/IP, HTTP, HTML, CSS, XML, JSON, Node.js, Angular.js, JQuery, Cordova, Responsive Design, UX (User eXperience), and more. Comparisons of available technologies including JavaScript frameworks and libraries, development tools, Microsoft .NET, Java Enterprise Edition (Java EE), and their associated languages and tools will illustrate the respective strengths and weaknesses of each.
Managers, designers, developers, and other people needing an introduction to Web technology and trends.
No prior experience is needed.
There are no lab exercises but several demonstrations will accompany in-class discussion.
Major Topics
  • Importance of Open Standards
  • Typical Application Infrastructure: TCP/IP, HTTP, and HTTPS, HTML5, CSS, JavaScript
  • Standard technologies: HTML5, CSS, XML, JSON, others
  • Explosion in Mobile Computing via the web - iOS, Android, hybrid
  • Responsive web applications
  • Client-Side processing: JavaScript, AJAX, Flash, jQuery, jQuery UI, AngularJS, Xamarin, MAF, more
  • Server-side: Servlets, JSPs, ASP.NET, AJAX, Node.js, PHP, more
  • Dynamic Pages via JSP & ASP.NET
  • High-level introduction to Java Enterprise Edition and .NET
  • Reliance on Web Services and Micro Services
  • Web Services Introduction: REST, HTTP API, SOAP, WSDL, UDDI, XML, JSON, and more
  • Comparison of XML and JSON
  • Comparison of SOAP and REST
  • IDE's and Editors: Visual Studio, Eclipse, JDeveloper, Sublime, more
  • Web/Application Servers: WebSphere, WebLogic, Tomcat, Glassfish, others
  • Deployment Issues: Security, Scalability, Concurrency, Parallel Processing, and more
  • Multi-Tier Web-Based and Cloud-based Deployment (AWS, Azure, Oracle, IBM, and more)
  • Relational Databases options: Oracle, DB2/UDB, Sql Server, MySql, and others
  • "Big Data" source options: Hadoop, HBase, Cassandra, Mongo DB, and more