Cyber2A: AI for Arctic Research
The Cyber2A course is a free, modular set of training materials for Arctic researchers who want to learn and apply artificial intelligence methods. The course is published as a Quarto book and can be used for self-paced study, workshops, or teaching.
Course Topics
- Introduction to AI and Arctic science
- AI-ready data, data annotation, and open data practices
- Neural networks, deep learning, and PyTorch
- Permafrost and Arctic data applications
- Instance segmentation and deep learning libraries for image analysis
- AI workflows, MLOps, foundation models, ethics, and reproducibility
Use the Materials
The course materials are designed as reusable modules. You can work through the full course in sequence or use individual lessons as references for specific topics.
- Course website: https://cyber2a.github.io/cyber2a-course/
- Course DOI: https://doi.org/10.18739/A2222R77V
- Course repository: https://github.com/cyber2a/cyber2a-course