Certification levels
Three tiers of practitioner expertise
The Scikit-learn Practitioner Certification Program provides three levels of certification — Associate, Professional, and Expert — attesting of your ability to apply machine learning techniques to solve real business problems at various stages of your career. These certifications focus on both the theoretical knowledge and practical application of scikit-learn, covering real-world business challenges.
Scikit-learn Associate Practitioner
starting from 135 USD excl. tax
The Scikit-learn Associate Practitioner Certification is for those starting out their career in machine learning. It covers essential skills like data preprocessing, building basic models, and evaluating them. This certification shows you can apply machine learning to straightforward business problems and clearly explain your results.
Scikit-learn Professional Practitioner
starting from 215 USD excl. tax
The Scikit-learn Professional Practitioner Certification is for those with some experience in machine learning who tackle more complex business problems, such as customer segmentation and sales forecasting. It tests your ability to use scikit-learn for tasks like model selection, feature engineering, and regularization techniques. You’ll need to show that you can build, fine-tune, and apply models that meet real-world business goals.
Scikit-learn Expert Practitioner
starting from 325 USD excl. tax
The Scikit-learn Expert Practitioner Certification is for advanced professionals who manage complex machine learning projects. It focuses on more advanced skills like creating custom estimators, tuning models, and calibrating predictions. You’ll be tested on data wrangling, debugging models, and deploying systems, proving your ability to solve high-level business challenges using scikit-learn.
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