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Upcoming Events

SCINet, the AI-COE, and other providers regularly host a variety of events and trainings. Information on how to attend these events will be posted on this page closer to the event date. You might want to take a look at events we’ve hosted in the past, too.

If you have a training request that is not being offered at this time, please complete this short training request form to let us know.


Keep an eye on this page for more info about upcoming events!

  • The Carpentries Unix, Git, and Python Workshop

    The SCINet Office, in collaboration with ARS’s certified Carpentries instructors, is offering a Carpentries workshop that will teach participants the Unix command line, version control with Git, and Python programming.

    • Unix command line and version control with Git - Feb 3 & 5, 1:00 PM - 5:00 PM ET
    • Programming with Python - Feb 11 & 13, 1:00 PM - 5:00 PM ET
    • SCINet OfficeARS-certified Carpentries Instructors
    • workshop
    • Unix
    • Git
    • R Project
  • Using large language models (LLMs) on SCINet's supercomputers

    Large language models (LLMs), a key technology behind well-known tools like ChatGPT and Microsoft Copilot, have a multitude of applications in agricultural research. SCINet’s high-performance computing resources provide an excellent environment for research use of LLMs, and this workshop will equip you with the knowledge and tools you need to take advantage of LLM capabilities in your research.

    • SCINet
    • Artificial Intelligence
    • LLMs
  • Practicum AI · Transfer Learning

    This workshop provides the foundational concepts and practical applications of transfer learning, a powerful technique in deep learning that allows AI models to leverage pretrained knowledge to improve performance on new tasks. The sessions will cover different types of transfer learning techniques, such as feature extraction and fine-tuning. This includes hands-on experience in applying these techniques to computer vision and language models.

    • University of Florida
    • training
    • Artificial Intelligence
    • Machine Learning