Developing an Interactive Online Platform for Advanced Cyber Training and Adaptive Learning Paths

Technology is advancing at an unprecedented pace, unlocking new possibilities for addressing complex research questions across science and engineering disciplines. As the demand for advanced coding and cyber skills continues to grow, there is an urgent need for specialized training platforms that can keep pace with these advancements. While commercial platforms offer valuable resources, they often fall short of meeting modern research's broad and dynamic needs. Funded by the NSF Cybertraining Program, we designed and developed an open-access online platform, CyberFaCES, to support advanced cyber training with adaptive curriculum development. CyberFaCES integrates a Halcyon-based content management system front end and a JupyterHub back end with single sign-on functionality. Instructors can create learning modules and combine them dynamically to design diverse learning paths. Students have access to a Jupyter Notebook environment that is seamlessly connected to the course catalog, along with access to HPC resources on the back end. Deployed on a Kubernetes-based composable system, the platform has been successfully used in teaching and training events, demonstrating broad applicability and versatility across disciplines.