Practicum AI News

Matt Gitzendanner, UFIT Research Computing’s Training Team Lead, was recently awarded a multi-year contract to collaborate with the USDA’s Agricultural Research Service (ARS) to deliver AI training. UFIT Research Computing staff will offer sessions using the Practicum AI training modules as wel...

At Practicum AI, we are always working to make our content more accessible and improve user experience. As we continue developing content, we have transitioned the “Beginner” and “Intermediate” courses to “Learning Paths” and now feature each component course individually. This will align bette...

Check out this great news article about the College of Medicine’s Artificial Intelligence Boot Camp offered in early June! Practicum AI developer, Dan Maxwell assisted with the training which made use of some of the Practicum AI content. We look forward to continuing to work with the College ...

As we continue to build out our Practicum AI learning experiences, the Python lessons have now been extensively revised. We no longer rely on an outside text and provide all of the learning content and exercises in the notebooks. Content has also been reorganized a bit and cleaned up. As alway...

Funded in part by NIH grant 3T34GM118272-05S1, a supplement to grant 5T34GM118272-05, we are excited to launch the initial version of our FAIR training for AI/ML. FAIR (Findable, Accessible, Interoperable, Reusable) is a growing international standard for enhancing data stewardship. “The pr...

Today the initial versions of our two foundational courses, Practicum AI Beginner and Practicum AI Intermediate went online. The content of these courses, including Jupyter notebooks, presentations, and additional resources are in GitHub and ready for you. Whether you are learner looking to lear...