AWS-AI-Bootcamp-Labs

This library has a collection of Notebooks and code examples for AWS AI Bootcamps.

Create EC2 IAM role for the workshop as described here. We will apply permission policies as documented in each notebook
Launch EC2 Instance using the Ubuntu deep learning AMI in eu-west-1, Ireland (p2.xlarge - $0.972/hour) http://amzn.to/2j3FdOZ
Connect via SSH and tunnel port 8888:
- Linux, Mac:
  - ssh -i user.pem -L 8888:localhost:8888 ubuntu@ec2-ip-ip-ip-ip.region.compute.amazonaws.com
- Windows:
  - Follow the instructions here to download PuTTY and to convert your private key
  - Host Name: ubuntu@ec2-ip-ip-ip-ip.region.compute.amazonaws.com
  - Expand Connection and choose Auth, select your .ppk file
  - Expand Connection > SSH, choose Tunnels, specify Source Port: 8888, Destination: localhost:8888
  - Choose Add and Open
Clone aws-ai-bootcamp-labs github repository git clone https://github.com/awslabs/aws-ai-bootcamp-labs
Start jupyter notebook: nohup jupyter notebook &
tail nohup.out to get the login token
- look for http://localhost:8888/?token=<your_login_token>
Open demo notebook (FashionMNIST_MXNet_Demo.ipynb)
- Select Kernel > Change kernel > Python 2
Follow steps in notebook

aws-samples / aws-ai-bootcamp-labs