Recipients of Uplimit AML certificates have developed core AML technical skills by building and debugging widely used supervised ML modeling approaches ranging from robust baselines to state-of-the-art. They have hands-on ML engineering experience for overcoming challenges when building ML models by working on a range of datasets, problem formulations, and diagnostic techniques. Finally, they learned and practiced principles for successful ML project planning and execution based on lean startup thinking.

Certification criteria:

Designed, built, and debugged machine learning models for classification and regression tasks using a variety of datasets with Python (Numpy, Scikit, Pyplot).

Actively participated in Uplimit's dynamic course on AML: attended lectures, lab sessions, Fireside Chats with industry leaders, and more.

February 10, 2023 Instructor: Dr. Andrew Maas, Julie Kallini

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