About the Webinar
Recorded: Thu, 10/16/25
The rapid integration of artificial intelligence and machine learning into materials research is transforming how discoveries are made, and preparing students to thrive in this new landscape is now a priority for educators. This webinar will introduce the Citrine Platform—an intuitive, no-code environment designed to make the full AI/data science workflow accessible to students and faculty in materials science and engineering. We will explore ready-to-use instructional modules, case studies, and exercises that were written by educator Dr. Joel Galos and trialed at Calpoly University. These integrate seamlessly into existing curricula while meeting ABET accreditation requirements.
Whether you teach undergraduates or run a graduate-level course, this session will equip you with practical tools to bring AI-driven materials informatics directly into your classroom, both in-person and online.
What you will learn:
- How to guide students in building AI models, interpreting results, designing experiments, and selecting optimal candidates for the lab
- See the Citrine Platform and understand how easy it is to create an AI model without writing a single line of code
Who should attend:
- Lecturers teaching Materials 101, or AI for Materials
- Heads of Department keen to incorporate AI in the curriculum
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