thatKennedy/fastai-courses-on-GCP

Some help getting set up to run the fast.ai courses on the Google Cloud Platform

https://forums.fast.ai/t/fastai-v0-7-install-issues-thread/24652

• following: https://course.fast.ai/start_gcp.html
• Port forward from sudo user to get jupter lab. port forward from jupyter user gives notebook
• add instructions on installing awscli and boto3 on GCP server

1. install Make and gcloud commandline tools
2. create Google cloud account and project
3. Go to https://console.cloud.google.com/iam-admin/quotas?
   1. find "Compute Engine API: GPUs (all regions)"
   2. Check this quota and ask to edit edit quota
4. set up gcloud credentials from command line: Auth
5. get your kaggle.json file into this directory Instructions
   1. make sure you agree to any kaggle competitions first
6. update makefile with your project, zone, and deployment name, then run
   1. make deploy
      1. this should be succeed so you see a new machine running, but it will take a bit of time for it to setup and be ready for an SSH connection which is needed to run the next setup command.
   2. make setup
   3. make data
7. now you should be able to
   1. make lab

ABLE TO GET ENVIRONMENTS IN JUPYTER LAB AFTER THIS https://ipython.readthedocs.io/en/stable/install/kernel_install.html#kernels-for-different-environments