0_Setup

Set up your development environment

Time to complete: 5-10 minutes.

What are we building?

We are going to use AWS Cloud9 as our cloud-based integrated development environment. It will get you bootstrapped with the right tools and access on Day 1.

If you already have a Cloud9 environment, feel free to use that.

Step 1: Create a Cloud9 environment

Expand if you want detailed directions

Create your Cloud9 instance by following these steps:

1. Navigate to AWS Cloud9 in the console
2. Click Create environment
3. Provide a name: WildRydesIDE
4. Click Next step
5. Leave all defaults
6. Click Next step
7. Click Create environment

Step 2: Wait for your environment to be already

Your AWS Cloud9 environment is being created and your screen will look like this:

After a minute or so, your environment will be ready and you can continue.

Step 3: Validate your environment has credentials

1. Find the "Welcome" tab and click the plus icon next to it
2. Select New Terminal
3. Run a command to get the caller identity: aws sts get-caller-identity
   • This command will let you know who you are (account number, user ID, ARN)

Hint: New editors and terminals can be created by clicking the green "+" icon in a circle

Step 4: Clone this repository

Let's get our code and start working. Inside the terminal:

1. Run the following command to get our code:

   git clone https://github.com/aws-samples/aws-serverless-workshops/
   

2. Navigate to our workshop:

   cd aws-serverless-workshops/MachineLearning/
   

At this point we have built our cloud based development environment, verified it is configured with the right credentials, and copied down some source code from a code repository.

Next step:

We're ready to proceed with building the data processing pipeline.