The Machine Learning and AI certificate prepares engineers and scientists to build analytic models that can predict/recognize based on environmental observations. The certificate also prepares students to construct decision-making systems based on predictions, toward intelligent actors. The program uses applied projects to build the ability to train systems, choose machine learning and tuning procedures, make predictions, and frame intelligent decision trees.
Students in the program work on a series of applied projects that closely resemble the activities a professional in the field works on, such as: design and deployment of analytical systems that serve as the basis for the analysis, processing, storage, and interface of the machine learning process; choose learning models appropriate to the result desired; developing predictive models that lead to the least likelihood of unintended variance; and build natural language and recommendation engines for common applications such as sales enhancement engines. Students observe results and tune recommendation models to achieve more accurate predictions and recommendations.
The program is taught by Rensselaer’s outstanding and highly ranked faculty. The program is built using a blended delivery methodology, bringing the best aspects of classroom and online learning together to deliver a unique project-based program – completely digitally, meaning that working professionals anywhere can participate fully in what is a personal and challenging experience. Not only will students learn the latest aspects of the profession, they’ll gain experience through the projects.
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