Data science · generative AI · statistics
Courses at the intersection of data science, artificial intelligence and statistical analysis — taught with an applied philosophy: advanced computational tools solving concrete engineering and public-sector problems.
Foundations and applications of generative models: architectures, fine-tuning and practical implementation for complex engineering and data challenges — the flagship AI course.
Theory and practice of visual data communication: effective, interactive visualizations that uncover insight in high-dimensional datasets, from DataChile-style observatories to executive dashboards.
Core statistical techniques — linear and logistic regression, PCA — applied to real industrial-engineering scenarios.