Dataiku Launches Dataiku Academy, a Free online learning tool to enable all users to build skills on the leading enterprise aI platform

Self-paced, interactive online training lowers the barrier to learning, creating an accessible and democratic approach to AI in the enterprise

NEW YORK - May 27, 2020 --Today, Dataiku, one of the world’s leading Enterprise AI and machine learning platforms, announced the launch of Dataiku Academy, a self-service learning portal that will enable any user of Dataiku to build skills related to data science in the enterprise and master the platform.

Dataiku Academy provides clearly structured learning pathways and easy-to-consume, interactive, content-rich video. A learner’s progress in Academy is tracked, allowing them to earn badges (visible on the Dataiku Community) and certificates of achievements, and use their skills and mastery to more effectively leverage AI in the enterprise through Dataiku.

Dataiku Academy is designed for all users of Dataiku — from non-technical roles to the hardcore coders on the data team — to guide each user through online, self-paced training, wherever they are in their individual learning journey.

“Through Academy, users at every level of the enterprise will be able to better use Dataiku and become more autonomous in how they leverage our platform, relying less on Dataiku’s support while being more productive and delivering results to their teams more efficiently,” said Kurt Muehmel, Chief Customer Office at Dataiku. “For teams and organizations, lowering the barrier to learning translates to a truly accessible and democratic approach to AI in the enterprise.”

Dataiku Academy is free, and open to all — and the eight Learning Paths & Certifications that will be available are adapted to many different kinds of users, allowing people to get certified and recognized at their enterprise level. Any user, from the most novice to the most advanced, will be able to take advantage to better their skills in this self-paced learning environment that adapts to the availability and schedule of any team.