SKC JupyterHub
The SKC JupyterHub is a cloud-based website that allows faculty, researchers, and students to create shared JupyterLab Notebooks. These JupyterNotebooks can use Python, R, and Julia to create reports, process data, complete exercises, and complete homework assignments.
Opportunities
ACES: Running Jupyter Notebook on the ACES Portal
November 7, 2025
10-11 AM CT
This 1-hour primer covers starting and using a Jupyter notebook in Open OnDemand on the ACES cluster, a composable accelerator testbed at Texas A&M University. Jupyter Notebooks allow for interactive coding in several languages and documentation via Markdown
Geospatial Deep Learning with TorchGeo
This workshop will give you hands-on experience using TorchGeo for geospatial deep learning. TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. The goal of this library is to make it simple for machine learning experts to work with geospatial data, and for remote sensing experts to explore machine learning solutions.
This workshop will give you hands-on experience using TorchGeo for geospatial deep learning. TorchGeo is a PyTorch domain library, similar to torchvision, providing datasets, samplers, transforms, and pre-trained models specific to geospatial data. The goal of this library is to make it simple for machine learning experts to work with geospatial data, and for remote sensing experts to explore machine learning solutions.
Register by Nov 7, 2025
5-Day AI Agents Intensive Course with Google
This 5-day online course was crafted by Google’s ML researchers and engineers to help developers explore the foundations and practical applications of AI agents. You’ll learn the core components – models, tools, orchestration, memory and evaluation. Finally, you’ll discover how agents move beyond LLM prototypes to become production-ready systems. Each day blends conceptual deep dives with hands-on examples, codelabs, and live discussions. By the end, you’ll be ready to build, evaluate, and deploy agents that solve real-world problems.
This 5-day online course was crafted by Google’s ML researchers and engineers to help developers explore the foundations and practical applications of AI agents. You’ll learn the core components – models, tools, orchestration, memory and evaluation. Finally, you’ll discover how agents move beyond LLM prototypes to become production-ready systems. Each day blends conceptual deep dives with hands-on examples, codelabs, and live discussions. By the end, you’ll be ready to build, evaluate, and deploy agents that solve real-world problems.
November 10 to 14, 2025
Virtual, FREE
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