We will be using AWS in this part of the course. Unfortunately, AWS does not allow students to set up a fully functional AWS account unless they are willing to supply a credit card. Instead, we will use AWS via AWS Academy's Canvas site. You will receive a course invitation from AWS Academy to participate in a class.

Follow its instructions to create an account on Canvas, then login to the site at https://awsacademy.instructure.com/login/canvas. From your Dashboard, choose the course listed and then click on "Modules".

Click on "Modules", then on "Learner Lab - Associate Services" to bring up the console that can be used to access your course's AWS account.

The course comes with a fixed budget for computing resources. Vocareum allows you to control your AWS account in order to limit its consumption. The main navigation bar is shown below:

Click on "Start Lab", wait for the AWS account to be enabled and for the dot next to AWS turn green. Then click on the AWS button to bring up the AWS console.

Notify the instructor immediately if you do not get this screen

When your lab is finished and you have taken the required screenshots, go back to the Vocareum console and click on "End Lab"

AWS Cloud Shell provides a Linux environment that has the AWS CLI and SDK pre-installed. To launch it, find the icon located at the top of the web console after logging in (outlined in red).

Upon launching Cloud Shell, you should be dropped into an interactive container that has the AWS CLI. Note that the CLI has already been configured with your AWS account credentials so there is no need to manually perform the configuration.

Python option

Once can also install the AWS CLI on any Linux machine via a Python package. To do so on a linuxlab machine, perform the following to install the AWS CLI in a virtual environment using Python's pip.

virtualenv -p python3 env
source env/bin/activate
pip install awscli

Alternatively, if you want to run on a local Linux VM running Ubuntu 18.04, ensure the proper packages are installed below before performing the commands above.

sudo apt update -y
sudo apt install python3 python3-pip virtualenv

Once installed, you will need to configure the CLI with the credentials of the AWS account. Go back to the AWS Academy Lab interface, click on AWS Details, and show the AWS CLI information. Then, type the command below and fill in the credentials based on that information.

aws configure