Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Linux Foundation

Open Source Powered Real-Time Fraud Analysis in a Hybrid Cloud Environment

Linux Foundation via YouTube

Start learning Write review
DataCamp Ad

Power BI Fundamentals - Create visualizations and dashboards from scratch

Learn More → Coursera Ad

AI, Data Science & Cloud Certificates from Google, IBM & Meta

Learn More →

Overview

Google, IBM & Meta Certificates – 40% Off
One Coursera Plus subscription covers most Professional Certificates on Coursera.
Unlock All Certificates
This talk demonstrates a credit-card fraud detection workflow, from training a deep-learning model with TensorFlow in the cloud to deploying it for real-time inference on a mainframe. It also covers secure data handling and saving the trained model in ONNX format.

Syllabus

Introduction
Agenda
AI Impacts Every Industry
Challenges in AI Adoption
Ideal AI Stage
Real World Use Cases
Other Use Cases
Customer Use Case
How Open Source Helps
AI Life Cycle
AI Modeling
Data Source
Deploy
TensorFlow Model
Deep Learning Compiler
Swagger API
Data Security
Data Protection
IBM Cloud
Model Deployment
Machine Learning Models
Open Source Models
Cloud Object Storage
Data Mapping
Testing
Summary
Open Source in 10 years

Taught by

Linux Foundation

Tags

Reviews

Start your review of Open Source Powered Real-Time Fraud Analysis in a Hybrid Cloud Environment

Start learning

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.