Getting Started with Amazon Fraud Detector
Getting Started with Amazon Fraud Detector

CLOUD LABS

Getting Started with Amazon Fraud Detector

In this Cloud Lab, you’ll create a custom model using Amazon Fraud Detector, store training data in an S3 bucket, and employ the model in a Python application to detect fraud using Boto3.

9 Tasks

beginner

2hr 30m

Certificate of Completion

Desktop OnlyDevice is not compatible.
No Setup Required
Amazon Web Services

Learning Objectives

Working knowledge of creating and deploying custom models in Amazon Fraud Detector
An understanding of Amazon S3 and its application in storing training datasets
Hands-on experience in integrating Amazon Fraud Detector with Python applications using Boto3
Ability to utilize machine learning to detect fraudulent activity effectively
Insight into real-world applications of fraud detection

Technologies
AWS logoAWS
Fraud Detector
S3
Cloud Lab Overview

Amazon Fraud Detector is an innovative, fully-managed service applying machine learning to identify potentially fraudulent activities. With increasing online transactions and activities, the need for efficient fraud detection has never been higher.

In this Cloud Lab, you’ll create a custom model tailored to your data, utilizing a training dataset stored in an Amazon S3 bucket. You’ll then deploy the model, preparing it for real-world scenarios. Next, you’ll develop a Python application and use the Boto3 library to call the model, detecting fraud in your sample transactions. It’s a sequential journey from understanding the basics to applying them in a live environment.

By completing this Cloud Lab, you’ll be able to detect fraudulent activities and grasp how this technology can be a game-changer in security and compliance. You’ll also understand how machine learning can be practically applied in various domains, enhancing career opportunities in a competitive landscape.

The following is the high-level architecture diagram of the infrastructure that you’ll create in this Cloud Lab:

Architecture diagram
Architecture diagram
Cloud Lab Tasks
1.Introduction
Getting Started
2.S3 Bucket and Dataset
Create S3 Bucket
Prepare Dataset
3.AWS Fraud Detector
Create Event and Entity
Create Model
Create Fraud Detector
Prediction/Testing
4.Conclusion
Clean Up
Wrap Up
Labs Rules Apply
Stay within resource usage requirements.
Do not engage in cryptocurrency mining.
Do not engage in or encourage activity that is illegal.

Trusted by 1.4 million developers working at companies including

Don’t take our word for it. See what our developers have to say.

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
TestimonialsImg

I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg
Don’t take our word for it. See what our developers have to say.

Your method is simple, straight to the point and I can practice with it everywhere, even from my phone, that's something I have never had in other learning platforms.

Felipe Matheus
TestimonialsImg

I highly recommend Educative. The courses are well organized and easy to understand.

Adina Ong
TestimonialsImg

I prefer Educative courses because they have a nice mix of text & images. I find that with full video courses, it can often be too easy to go into passive learning mode.

Clifford Fajardo
TestimonialsImg

Get access to Educative Cloud Labs

Course Footer Image
Course Footer Image