Artificial Intelligence Hub resources

Learning materials to help Penn State researchers build skills in artificial intelligence (AI), whether they are just getting started or deepening existing expertise. Entries come from Institute for Computational and Data Sciences (ICDS) Upskilling Fellows and the wider ICDS community.

This hub is for anyone wondering where do I start with AI, which learning resources have others found particularly useful, or which tools are my colleagues actually using. Each entry names a real person who tried the resource and says how useful they found it. All opinions are those of the contributor and not necessarily those of ICDS or Penn State.

The AI Hub’s own website is at ai.psu.edu.

Start here

If you are new to AI and want a short list of starting points, then consider:

Then browse the full collection by category below.

Browse by category

Resources are grouped by type so you can find the kind of material that fits how you like to learn.

Category What you’ll find Go to
Courses Structured, multi-module courses and certificate programs resources/courses
Tutorials and guides Shorter how-to walkthroughs, cheat sheets, and written guides resources/tutorials-and-guides
AI models Notes on specific models (e.g., Claude, GPT, Gemini, open-weight models) and when to use them resources/ai-models
AI tools and harnesses Assistants, agents, IDEs, notebooks, and platforms for getting work done resources/ai-tools-and-harnesses
Books and articles Longer reading, papers, and reports resources/books-and-articles
Videos and talks Recorded talks, lectures, and video series resources/videos-and-talks
Community repositories Full GitHub repositories shared by Penn State colleagues resources/community-repos

Not sure which category fits? Put it in the closest one. A maintainer can move it later.

Before you use an AI tool for university work

Check what is approved for your data. Penn State’s AI Comparison Table and AI Tools: Help Me Choose are the authoritative guides on approved tools and data-sensitivity levels.

Add a resource

You do not need to be an advanced AI user to contribute. Researchers from all disciplines are welcome, and we want perspectives from people just getting started as well as those with extensive experience.

Full instructions are in CONTRIBUTING.md. In short: open a pull request, fill in the “Suggest a resource” issue form, or email icds@psu.edu with the subject line “ICDS Upskilling Learning Repository: Suggestion”. A title, a link, a couple of tags, and one sentence about how useful you found it is plenty.


Looking for another subject area? See all five ICDS hubs.