https://event.on24.com/wcc/r/4903163/6F8CE852E22C58540A57022C7495ED52?partnerref=pe-website

This course is also offered in an on-campus format, meeting simultaneously with the live online cohort.

Course is closed
Lead Instructor(s)
Date(s)
Jun 02 - 04, 2025
Registration Deadline
Location
Live Online
Course Length
3 Days
Course Fee
$3,600
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AI is transforming processes across countless disciplines—and the sciences are no exception. In this high-impact three-day course, you’ll master a range of practical AI skills—including predictive modeling, large language models, and AI-driven experiment planning—to streamline and enhance your scientific research and uncover new insights.

Course Overview

From biology to chemistry to physics, AI is now ubiquitous across all corners of the sciences, helping researchers enhance workflows and accelerate the innovation process. For scientific researchers and professionals, knowledge of AI is rapidly transitioning from a helpful asset to an essential skill for success.

In this intensive three-day course taught by computer science expert Professor Wojciech Matusik, you’ll gain the practical skills you need to apply AI within your field of scientific research. Through a blend of interactive lectures and labs you’ll master a range of foundational and advanced machine learning techniques, including neural networks, large language models, predictive models, and experimental planning methods such as Bayesian optimization. Specifically, you’ll gain the practical skills you need to handle high-dimensional datasets, build and optimize AI models, and apply advanced methodologies for a range of tasks—from text analysis to hypothesis generation to data-driven decision-making. Equipped with these new skills, you’ll be ready to leverage AI to optimize your experiments, build both generative and predictive models, streamline your data analysis, and uncover new insights more efficiently.

With a strong emphasis on practical applications, you’ll also examine real-world case studies in fields such as molecular discovery and materials science—as well as participate in hands-on labs where you’ll implement AI methods in realistic scenarios. Ultimately, you’ll emerge from the experience with the actionable tools and strategies you need to harness AI’s transformative potential—and drive the next breakthrough in your field.