Discover the official scikit-learn certifications
Reduce technical debt and secure your production pipelines with official scikit-learn support
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The real risk isn’t a single bug. It’s the slow accumulation of fragile pipelines, inconsistent practices, and decisions that “work for now” because only a few people understand them. As a team lead, these risks don’t just affect models — they affect delivery, credibility, and your ability to scale the team safely.
Teams commonly face:
• Unclear best practices for predictive modeling pipelines
• Inconsistent preprocessing, validation, and feature handling
• Models that are hard to maintain or upgrade over time
• Surprising behavior or performance regressions
• Knowledge concentrated in a handful of contributors
• No trusted escalation when decisions are ambiguous or high-stakes
The result: more predictable ML systems, shared standards, and reduced dependency on individuals.
Probabl Support is ongoing expert back-up, not one-off consulting: you keep ownership, we provide escalation, guidance, and shared standards.
Fill out the form to share your organisation's needs, and we’ll get back to you.
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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.
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.
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.
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.
No. This support is rooted in predictive modeling as designed and implemented in scikit-learn.
No. We extend and upskill them.
No. This is ongoing expert back-up and knowledge transfer.
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