Upside Learning To Showcase Its Recently Unveiled Responsive Framework, FRED, At The Elearning Guild’s Learning Solutions Conference & Expo 2014
Upside Learning, a leading provider of learning technology solutions, will be exhibiting and presenting at the eLearning Guild’s Learning Solutions Conference & Expo 2014. The Learning Solutions Conference & Expo, which is the leading industry event for technology-supported learning and performance support professionals, will be held from March 19-21, at the Hilton Orlando Lake Buena Vista in the Walt Disney World Resort.
Delegates can look forward to attend a seminar on Upside Learning’s innovative Framework for Responsive eLearning Design, FRED. To be presented by James Rasmussen, Area VP – Americas, and Amit Gautam, Founder & Director of Technology Solutions of Upside Learning, the seminar will take an inside look at the need of multi-device learning in delivering engaging, consistent & relevant content to an on-the-go workforce when & where it matters and how a responsive design effectively addresses this need.
The Upside team will also be present at booth # 214 showcasing a wide range of learning technology solutions and services, including UpsideLMS, a multi-award winning Learning Management System; Upside2Go, a mobile learning platform for performance support; a portfolio of Custom Learning Solutions for desktops, tablets and mobiles; and of course FRED.
Both James and Amit will be available at the booth to talk more on Upside’s products and services along with free demos. Additionally, a one-on-one meeting can also be made available by sending James an e-mail at firstname.lastname@example.org.
We're excited to be participating in Learning Solutions Conference & Expo. As avid believers in the mantra of 'Keep Learning', we regularly push ourselves to address the needs and challenges of modern day learning and development professionals by coming up with innovative solutions. FRED is such innovation and it is changing the face of how eLearning courseware is built for multi-device learning.