Welcome to this comprehensive repository where you will find a wide array of examples and use-cases for various AWS services. This repository aims to provide practical, easy-to-follow guides and scripts to help you understand and utilize AWS's vast offerings.
This repository is organized into several folders, each dedicated to a specific AWS service. Inside each folder, you'll find a combination of notebooks, scripts, detailed descriptions, and references that illustrate how to effectively use the respective AWS service. Here's a quick overview of what you can expect in each folder:
- CLI: Examples and scripts demonstrating how to use the AWS Command Line Interface for various tasks.
- SageMaker: Jupyter notebooks and resources for leveraging AWS SageMaker for machine learning and data science projects.
To get started with this repository:
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Clone the Repository: Use the following command to clone this repository to your local machine:
git clone https://github.com/Fustincho/aws-tutorials.git -
Navigate to a Service Folder: Each service has its own dedicated folder.
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Explore the Contents: Inside each folder, you will find the necessary files and instructions to begin.
Contributions to this repository are welcome. If you have an example, correction, or improvement, feel free to create a pull request. For major changes, please open an issue first to discuss what you would like to change.
This project is a compilation of work and references from various sources. Each folder contains specific acknowledgments and references related to the work done.
This repository is continuously evolving, and new examples and resources will be added regularly. Stay tuned for updates! 🚀