Google Colab has support for Julia now, so that is likely the easiest online environment for this. This will also allow you to share a folder of notebooks with the audience beforehand and structure the workshop around them.
JuliaHub also offers 20 hours of free usage per month per account, but that will involve everyone setting up a JuliaHub account - and in my experience, there’s always at least a few that don’t do it beforehand even if requested to do so, so there’s waiting and hassles and distracted listeners. On the plus side, I believe this will land them in a VS Code environment with the editor and (I think) LSP and a terminal, so it’s something closer to the working environment of most regular Julia users.
JuliaHub would also give them the shiny new releases, whereas with Colab:
We’ve chosen to distribute the 1.10 LTS version of Julia for longer-term stability. In addition to the required
IJuliakernel package, we’ve pre-installed a few of the most common packages for data science, such asCSV,DataFrames,Makie, andPlots, and we’re evaluating pre-installingCUDAon our GPU runtimes, but for now we’ve left it off.
IMHO 1.10 is plenty for new users, and the pre-installed packages should also give you some useful amount of things to work with and show off, without having to straightaway jump into precompilation and TTFX-related topics (though I’d recommend covering those too, just a bit later after they’ve been able to run some useful code and get a taste for the language).