UpsideLMS pays tribute to India with a 'Make In India' Desktop Wallpaper Calendar
Pune, IndiaLearning NewsUpsideLMS
To celebrate India's 2018 Republic Day, UpsideLMS has released a free-to-download Desktop Wallpaper Calendar for 2018 based on 'Make In India' theme.
India has been riding high on the 'Make in India' wave since Prime Minister Narendra Modi took center stage in the Indian and world politics not too long ago. While a lot remains to be done to make INDIA a brand in itself, UpsideLMS, a world leader in LMS and learning-tech solutions, is paying a tribute to its homeland by releasing a FREE downloadable desktop wallpaper calendar for 2018 on India's Republic Day on 26th January.
The wallpaper-cum-calendar with 12 different images and corresponding calendars is based on the 'Make In India' theme and celebrates India's lesser-known gifts to the world. Each month showcases the inventions, the discoveries, and the brains that have 'India' at its soul.
Speaking about this special calendar, Amit Gautam, Director - UpsideLMS, said, "The objective of this calendar is two-fold. We hope that it not only fills every Indian's heart with pride every single day of 2018, but also strengthens his/her belief in the power of this great nation and the people of it. Happy Republic Day!"
UpsideLMS' Desktop Wallpaper 2018 Calendar is available for a free download at http://bit.ly/2ETeVVD.
Share this page
Follow this company
Latest news
About
Backed by over 15 years of experience, 45+ industry awards and recognition, and trusted by 1M+ users worldwide, UpsideLMS is one of the most trusted Cloud-based Learning Management Systems the world over. This feature-rich and future-proofed LMS enables Corporate and Training Companies to manage their Online, Formal, Social (Informal) and Mobile Learning easily and more efficiently. UpsideLMS' all new AI-powered recommendation engine along with its user-friendly interface makes for an enriched and smart learning journey, where relevant content is suggested to the learners automatically by gathering intelligence from user behaviors, skill-sets and information pieces across the board to produce a rich pool of related content and deep search results.