Serverless - Deploying applications with SAM > Preparation

Preparation

To start building SAM-based applications, we must first install the SAM CLI, install the AWS credentials, and initialize a simple SAM application.

Install SAM CLI for OS:

MacOS

brew tap aws/tap
brew install aws-sam-cli
sam --version

Linux
```
pip install aws-sam-cli
sam --version
```
Windows
- Downloads AWS SAM CLI 64-bit
- Install file and check version of SAM
```
sam --version
```

You can refer to: https://docs.aws.amazon.com/serverless-application-model/latest/developerguide/serverless-sam-cli-install.html

If you have already installed AWS credentials from previous posts, you can skip this step.
- Open IAM console
- Click User on the left menu.
- Click Create user button
- Enter user name, such as: AdminSAMUser
- Check option Provide user access to the AWS Management Console
- Select I want to create an IAM user
- Select Custom password, then enter your password
- Uncheck the User must create a new password at next sign-in
- Click Next

Select Attach existing policies directly
Select AdministratorAccess policy to the user has full access to the services
Click Next
- Click Next: Review
- Review configuration, and click Create user
- Click Return to users list.
- Click Create access key
- For Use case, select Command Line Interface(CLI)
- Check to Confirmation
- Click Next
- Click Create access key
- Click Download .csv file
- Run the command using the terminal on your device
```
aws configure
```
- Enter the information corresponding to the columns in the credential file you downloaded
  - AWS Access key ID: Enter access key ID
  - AWS Secret access key: Enter secret access key
  - Default region name: Enter region closest to you
  - Default output format: Can be overlooked

Then, create a sample SAM project

Run the below commands at the directory where you want to deploy the application
```
#Step 1 - Download a sample application
sam init
```

Then select the options:

Which template source would you like to use?
	1 - AWS Quick Start Templates
	2 - Custom Template Location
Choice: 1

Choose an AWS Quick Start application template
	1 - Hello World Example
	2 - Multi-step workflow
	3 - Serverless API
	4 - Scheduled task
	5 - Standalone function
	6 - Data processing
	7 - Infrastructure event management
	8 - Machine Learning
Template: 1

Use the most popular runtime and package type? (Python and zip) [y/N]: y

Would you like to enable X-Ray tracing on the function(s) in your application?  [y/N]: n

Project name [sam-app]:  fcj-book-shop

You have created a sample SAM project. Next , we will edit that project according to our application architecture.