Probabl Partners with Kryterion to Launch Official scikit-learn Certification Program
Probabl, the official operator of the scikit-learn brand, has announced a groundbreaking partnership with Kryterion to deliver the first-ever official certification program for data scientists. This collaboration aims to provide structured certification across three key tiers: associate, professional, and expert, in order to elevate the standards of responsible and accountable AI development.
With over 1.5 billion downloads, the scikit-learn library is the gold standard for open-source machine learning in the Python ecosystem, supporting over 1 million global projects. Kryterion, known for its secure and scalable certification platform, is the ideal partner for this initiative.
According to Kryterion CEO William Dorman, this partnership aligns perfectly with their commitment to responsible AI development, ensuring that data scientists have the necessary skills while maintaining high standards of candidate experience and exam security. The certification program will not only advance AI expertise but also emphasize the importance of trust, integrity, and security in the field.
Yann Lechelle, co-founder and CEO of Probabl, emphasized the importance of recognizing and validating the hard work data scientists have put into mastering the scikit-learn framework. This certification program will set a gold standard for maximizing their ability to deliver business value in machine learning and AI.
In addition to providing training and certification, Probabl has a track record of helping data scientists run, inspect, validate, and track models. This initiative further solidifies their commitment to the community and their mission to support data scientists worldwide.
This collaboration between Probabl and Kryterion marks a significant milestone in the field of AI development, highlighting the importance of certification and skill validation for data scientists. With the support of these two industry leaders, millions of professionals will have the opportunity to enhance their expertise and contribute to the responsible advancement of AI technology.