AI resources
This folder holds the AI Hub’s learning resources, grouped by type. Pick a category below, or start with the featured list on the AI Hub home page.
| Category | What you’ll find |
|---|---|
| Tutorials and guides | Short how-to walkthroughs, cheat sheets, and written guides. |
| Books and articles | Longer reading, papers, and reports. |
| AI models | Notes on specific models and when to reach for each. |
| AI tools and harnesses | Assistants, agents, IDEs, notebooks, and platforms. |
| Videos and talks | Recorded talks, lectures, and video series. |
| Community repositories | Full GitHub repositories shared by Penn State colleagues. |
| Courses | Structured, multi-module courses and certificate programs. |
How to read an entry
Every entry has a linked title, a line of plain-text tags (Level, Modality, Purpose), and one or more reviews. Each review names a real person and gives a recommendation, often with a sentence on why. Some entries link to a detail page under details/ with more depth.
How to add one
See CONTRIBUTING.md. There is a path for every comfort level with GitHub, including a pull request, a GitHub issue, or an email. Copy the entry template, fill it in, and drop it under the right category.
Looking for another subject area? See all five ICDS hubs.