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AI Systems and ML Pipeline

We introduce the course, place AI on one timeline that ends in the technocentric problem and explore the systems-engineering approach as a way to address it. As a result we define the ML pipeline, and the data-science process (access, assess, and address). A practical session implements the data science methodology from data preparation to training a simple linear model in the Civil Engineering context.

Department: Continuing-education workshops for civil engineering postgraduate students and teaching staff

Institution: Pontificia Universidad Católica del Perú (PUCP)

Date: October 05, 2026

Hours: 3

From: 10:00 am

To: 1:00 pm

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