Q: Can I use my own dataset?

A:  Yes. By default, the solution is configured to analyze a publicly available, anonymized example dataset of credit card transactions. But, you can customize the solution to use your own dataset. For more information, refer to the implementation guide.

Q: Is the data encrypted?

A: The Amazon S3 bucket for processed transactions is encrypted. However, the Amazon Kinesis Data Firehose delivery stream is not encrypted. If you use this solution with your own dataset, we recommend encrypting the delivery stream with server-side encryption. For more information, refer to the implementation guide.

Q: Can I visualize the data?

A: You can configure Amazon QuickSight or your own visualization tools to visualize the transactions this solution processes. For more information, refer to the implementation guide.

Training and Certification

AWS Training and Certification builds your competence, confidence, and credibility through practical cloud skills that help you innovate and build your future.  Learn more »

ML Building Blocks: Services and Terminology

This courses clarifies both the machine learning stack and the terms and processes that will help you build a good foundation in machine learning.

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Demystifying AI/ML/DL

After taking this set of courses, you’ll understand how Artificial Intelligence (AI) led to Machine Learning (ML), which then led to Deep Learning (DL).

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AWS Certified Solutions Architect – Associate

This exam validates your ability to effectively demonstrate knowledge of how to architect and deploy secure and robust applications on AWS technologies.

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Partner resources

The AWS Partner Network (APN) is focused on helping partners build successful AWS-based businesses to drive superb solutions and customer experiences. APN Partners are focused on customer success, helping you take full advantage of all the business benefits that AWS has to offer. With their deep expertise on AWS, APN Partners are uniquely positioned to help your company at any stage of your Cloud Adoption Journey and to help you solve some of your most complex problems.

Visit the following pages to learn more about the services we used to build this AWS Solution.

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