> For the complete documentation index, see [llms.txt](https://aalborg-university.gitbook.io/machine-learning-workstation/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://aalborg-university.gitbook.io/machine-learning-workstation/administration/connect-to-the-machine/add-ssh-keys.md). # Add SSH Keys This guide will help you set up SSH keys, which will be used to authenticate you into the machine instead password. Note that you will still be required to type your AAU email password. ## Look for SSH keys Type the following on a terminal: ```bash ls -al ~/.ssh ``` The command will list the content of your `.ssh` directory; if you see a file called `id_rsa.pub`, it means you already created an SSH key and you can skip the next step. ## Create SSH key On your local machine, type the following on a terminal: ```bash ssh-keygen -t rsa -b 4096 -C "" ``` Make sure to replace `` with your AAU email address. In the following prompts, you can just keep the default settings, although it is recommended to set up a passphrase. ## Upload the key Once you have an SSH key pair, you must upload the public one to the workstation. From a terminal, type: ```bash ssh-copy-id ml_workstation ``` Follow the directions of the prompts, and verify that the procedure was successful by typing: ```bash ssh ml_workstation ``` If everything worked, you will only have to type your AAU email password (if you have left your passphrase empty). Remember that you need to set up AAU's [2-factor validation](https://www.en.its.aau.dk/instructions/Username+and+password/Azure+MFA/) and have your mobile phone at hand, and make sure you write your AAU email password down (or that you are able to paste it in a terminal window) if is complicated (e.g. autogenerated). For more information on how to upload an SSH key, as well as alternative methods, please refer to [this guide](https://www.digitalocean.com/docs/droplets/how-to/add-ssh-keys/to-existing-droplet/).