> For the complete documentation index, see [llms.txt](https://awsnotes.dendron.so/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://awsnotes.dendron.so/machine-learning/amazon-forecast/common/getting-started.md).

# Getting Started

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This page was generated from content adapted from the [AWS Developer Guide](https://github.com/awsdocs/amazon-forecast-developer-guide.git)
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## Getting Started (Console)

* **Note**\
  This exercise assumes that you haven't created any dataset groups. If you previously created a dataset group, what you see will vary slightly from the following screenshots and instructions.

## Getting Started (AWS CLI)

* **Note**\
  The CLI commands in this exercise were tested on Linux. For information about using the CLI commands on Windows, see [Specifying Parameter Values for the AWS Command Line Interface](https://docs.aws.amazon.com/cli/latest/userguide/cli-using-param.html) in the *AWS Command Line Interface User Guide*.
* **Note**\
  The order of the key-value pairs in the response is arbitrary.
* **Important**\
  You must wait until the status is ACTIVE before creating a predictor with the dataset group.
* **Important**\
  Model training takes time. Don't proceed until training has completed and the status of the predictor is ACTIVE.

## Getting Started (Python Notebooks)

* **Note**\
  For a complete list of tutorials using Python notebooks, see the Amazon Forecast [Github Samples](https://github.com/aws-samples/amazon-forecast-samples/tree/master/notebooks) page.