NAIRR Workshop ยท Workshop 01
Start Here
Two ways to use these materials. Figure out which one you want first โ then follow that track.
Which are you here to do?
Most people start with Track A. Track B is the bigger unlock once you're comfortable.
Step 0 for everyone: get an ACCESS ID
No ACCESS ID = no access, full stop. Register free โ use your school email, not Gmail/personal (personal emails aren't eligible). Students: see Create Your ACCESS ID. Instructors: also do pre-class admin (allocation + add students) โ see the allocation playbook.
Run the workshop lab
Use NAIRR's free cloud computing to run the demo. Everything happens in the cloud โ nothing to install on your laptop.
- Get an ACCESS ID (free) and have your instructor add you to the Jetstream2 allocation
- Launch a Jetstream2 instance in the Exosphere portal
- Open the Web Desktop and install Jupyter (one-time commands)
- Clone the repo on the instance with
git cloneโ no local download - Open Notebook 04 and run it, watching the comparison unfold
โ What this demo does & why (read first)
โ Step-by-step setup & run guide
โ Notebook 04
Build your own materials
Set up an AI coding assistant on your laptop, then create notebooks and lessons just by describing what you want to teach.
- Install the tools locally โ Python, VS Code, and Claude Code
- (Optional) Clone this repo locally to learn from and modify โ or just open an empty folder and let the AI create files
- Chat with the AI: describe a concept; it writes the code and the step-by-step notebook
- Push to GitHub so your students can clone it (which sends them to Track A)
โ Set up VS Code + Claude Code
For instructors:
โ Instructor notes (teaching the lab)
Most instructors end up doing both
The two tracks connect: in Track B you build a notebook and push it to GitHub; in Track A your students clone and run it on free NAIRR computing. Build once, teach many.
The one thing that trips people up
"Where does the code live?" โ In Track A you clone the repo on the cloud instance. In Track B you work with it on your own laptop. Same repo, two different machines.