DEV Community

Gabriel Henrique
Gabriel Henrique

Posted on

Virtual Learning Festival and Vouchers: An Unmissable Opportunity

Image description

What is the Virtual Learning Festival?

The Virtual Learning Festival is an online event celebrating the Data + AI Summit 2025, running from June 11 to July 2, 2025. It is designed to help participants:

  • Complete training,
  • Expand data and AI skills,
  • Prepare for Databricks certifications.

How does it work?

The Virtual Learning Festival offers free online sessions, workshops, and content, allowing you to participate at your own pace during the event period. It aligns with the in-person Data + AI Summit in San Francisco (June 9–12), complementing the experience with remote training.

Main objectives

  • Free training on data and AI topics,
  • Certification preparation (with materials and practice),
  • Ongoing engagement before and after the main in-person event.

If you wish, I can help you find session details, workshop registration links, and information about certificates and discount vouchers—just let me know what interests you!


Discount Vouchers: How Do They Work?

During the Virtual Learning Festival, participants have access to exclusive benefits:

  • 50% discount voucher for Databricks certification (equivalent to $100 off).
  • 20% discount coupon for Databricks Academy Labs.

How to get them?

Simply complete any course during the virtual festival (June 11 to July 2, 2025) to automatically receive the 50% certification discount voucher and the 20% Academy Labs coupon by email.

Quick Summary

Benefit How to get it
50% off certification Complete any course during the festival
20% off Academy Labs Upon receiving the certification voucher

This dynamic has been confirmed in previous festivals and remains valid for the current event. If you are participating, just complete at least one course to secure your discounts.

If you need help choosing courses or tracking your completion, I can guide you!

Access The Virtual Learning Festival

Top comments (0)