Teach machine learning that students can actually use in the real world.

Equip students with practical, industry-recognized scikit-learn skills through hands-on certification and open, trustworthy standards — built with the maintainers of scikit-learn, the reference framework in machine learning

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Designed for universities, academia, coding schools, executive education

"This unique opportunity now allows participants to obtain, in addition to the training certificate issued by CentraleSupélec, an official certification validating their expertise in ML and their mastery of scikit-learn."

Frédéric Pascal
Professor, VP AI

“All students in our ESA Master’s program now complete the Associate Practitioner certification alongside their ML curriculum. Our first cohort achieved a 100% pass rate, supported by the quality of Probabl’s resources”

Christophe Hurlin
Director of a Master
in Data Science

Trusted partners around the world

Why academic programs choose Probabl

Probabl is the company behind scikit-learn, run by its maintainers. We help academic institutions teach applied machine learning the way it is actually practiced.

We don’t replace your curriculum. We strengthen it with practical standards, evaluation frameworks, and external credibility.

Deploy a certification program with Probabl

Roll out scikit-learn certifications across your organization with prepaid vouchers, centralized management, and flexible delivery. Designed for teams, academic programs, and consulting firms certifying at scale.

Designed for teams, schools, and consulting organizations

• Partner account to manage vouchers autonomously
• Access to all certification levels
• Invoice-based purchasing (company or institution pays)
• One-year voucher validity (extensions possible)

10 exam vouchers

Levels can be mixed across vouchers.

Get a quote
-8%
25 exam vouchers

Levels can be mixed across vouchers.

Get a quote
-12%
+100 exam vouchers

Custom pricing

Associate

299 USD
excl. taxes
Best for
Practitioners with foundational scikit-learn experience and early-career data scientists.

You are able to
Build end-to-end pipelines
• Apply correct preprocessing and evaluation
• Avoid common leakage and validation mistakes

Expert

499 USD
excl. taxes
Best for
Senior practitioners and ML experts.

You are able to
Debug and reason about complex ML workflows
• Write and use advanced scikit-learn components
• Make informed design trade-offs in production contexts

Get in touch today

Fill out the form to share your organisation's needs, and we’ll get back to you.

Frequently Asked Questions

Where can I find training to prepare for the certification?

You can prepare for the certification by following three online courses available on Skolar (currently, only the Scikit-learn Associate Practitioner Online Course is available, if you wish to get notified for the Professional and Expert online courses, please fill in this form) our dedicated learning platform. Each course aligns with a different certification level and mirrors the typical progression of a data scientist’s career.For a detailed overview of the topics covered at each level, we recommend checking our official study guides.

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Is Skolar free to use, or do I need a subscription?

Skolar is Probabl’s new online learning platform. Currently, you can create a free account and access the Scikit-learn Practitioner course at no cost. While most content is free for now, we plan to introduce additional premium courses in the future, which may require a subscription.

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Will completing the Scikit-learn Practitioner track on Skolar guarantee I pass the exam?

Completing the Scikit-learn Practitioner track on Skolar — and scoring above 80% on the wrap-up quizzes — strongly indicates you're ready to take and pass the corresponding certification exam.

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Is there a certificate of completion for each course on Skolar?

Skolar does not issue certificates of completion. If you want to officially validate your skills after training, we encourage you to pursue the corresponding certification exam.

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Is this certification compatible with our existing curriculum?

No. This support is rooted in classical ML as designed and implemented in scikit-learn.

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Can certifications be integrated into degrees or programs?

Yes. They can be embedded as optional or mandatory components.

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Is this suitable for different student levels?

Yes. Certification levels can be aligned with different stages of your programs. Most institutions use the Associate level as a standard benchmark for undergraduate and graduate students, and reserve the Professional level for top-performing or advanced students seeking deeper validation.

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Does this compromise academic independence?

No. All content and practices are based on open-source tools and community standards.

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