Step 1:
What is an EDS

Benefits of the EDS system
Steps for implementation
Required resources

Step 2:
EDS Architecture

Components
Data flow
Data security

Step 3:
EDS project roadmap

Data preparations
Demo stage
Implementation

Step 4:
Building a new model

Define variables
Load learning set
Train model and evaluate results

Step 5:
Single-Variable detectors

What is a detector?
How to define a single-variable detector, Benefits of a single-variable detector

Step 6:
Using rules for detection

How to define a rule
What is a rules-based detector?
Additional roles of rules

Step 7:
Multi-Variable detectors

What is a multi-variable detector? Benefits of a multi-variable detector, Parameters of a multi-variable detector

Step 8:
Model validation and activation

Define validation and activation, Runtime model data source, Model running policy control

Step 9:
Model running and monitoring

Define runtime data source, Monitoring incoming data, Control model’s hours of activity

Step 10:
Model's charts

Single-variable charts
Multi-variables charts
Additional charts

Step 11:
Events' classification

What is the classification?
Classification category types, What the model learns from classification

Step 12:
EDS Reports

Server reports and model reports. Types of reports
How to generate and export reports.