In this tutorial, you will build a an aircraft classification bot using Slack and Amazon Web Services, including AWS Lambda, Amazon SageMaker, and API Gateway.

In this tutorial you will perform the following tasks:

• Lab 1: Train an aircraft classifier - In this lab you will use Amazon SageMaker to train an aircraft classifier.
• Lab 2: Create a private interface - In this lab you will use AWS Lambda to create a private interface for your Amazon SageMaker endpoint
• Lab 3: Build a public interface - In this lab you will use Amazon API Gateway and AWS Lambda to create a public interface for your aircraft classifier
• Lab 4: Build a Slack bot - In this lab you will create a Slack bot that allows you to send request to your aircraft classify
• Lab 5: Cleanup - In this lab you will tear down all AWS resources created during this tutorial.

• AWS account
• Slack account

Note: For this tutorial you will be creating and using AWS resources including Amazon S3, SageMaker, Lambda, and API Gateway. All AWS resources must be created in the same AWS region.

Amazon SageMaker is currently available in the following regions: US East (Ohio), US East (N. Virginia), US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Sydney), Asia Pacific (Tokyo), EU (Frankfurt), EU (Ireland), and AWS GovCloud (US).

For an up-to-date list of services and supported regions, see https://docs.aws.amazon.com/general/latest/gr/rande.html