Recipients of the co:rise Machine Learning Foundations Track have learned the necessary machine learning concepts, and the skills and best practices to build effective ML systems in the real world. Students have completed courses in Applied Machine Learning, Deep Learning Essentials, and Data Centric Deep Learning. They have also demonstrated skills in designing, building, and debugging machine learning models for classification tasks to plan and execute ML development projects, as well as training and implementing neural networks in Pytorch, and building, improving, and repairing deep learning models with a data-centric approach.

Certification criteria:

Actively participated in co:rise’s dynamic track on Machine Learning Foundations: attended lectures, lab sessions, Fireside Chats with industry leaders, and more.

Built a series of projects, including ML development projects, projects training and implementing neural networks in PyTorch using CNN's, transformers, and GAN's, and projects devoted to building and testing deep learning models and improving performance with human-in-the-loop.

July 18, 2022 Instructor: Dr. Andrew Maas, Dr. Kevin Wu, Dr. Eric Wu, and Dr. Mike Wu

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Developed best practices for ensuring the quality of data, annotations, and models altogether.