This second course of the AI Product Management Specialization by Duke University's Pratt School of Engineering focuses on the practical aspects of managing machine learning projects. The course walks through the keys steps of a ML project from how to identify good opportunities for ML through data collection, model building, deployment, and monitoring and maintenance of production systems. Participants will learn about the data science process and how to apply the process to organize ML efforts, as well as the key considerations and decisions in designing ML systems.Read more.
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The techniques and tools covered in Managing Machine Learning Projects are most similar to the requirements found in Data Scientist job advertisements.
Managing Machine Learning Projects is a part of one structured learning path.
3 Courses
4 Months
AI Product Management
