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Course Outline

Introduction to Rule Engines

  1. History of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward Chaining versus Backward Chaining
  4. Declarative versus Procedural/OOP approaches
  5. Comparison of available solutions
  6. When to utilize rule engines
  7. When to avoid rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative versus Traditional Fact Models
  2. Executing simple rules with basic tests
  3. Asset Authoring
  4. Decision Tables
  5. Rule Templates
  6. Guided Rule Editor
  7. Testing, benefits, and limitations
  8. Developing simple processes using rules

Writing Rules in Eclipse

  1. Stateless versus Stateful Sessions
  2. Selecting Appropriate Facts
    • Basic Operators and Drools-Specific Operators
    • Basic Accumulate Functions (e.g., sum, max)
    • Intermediate Calculations
  3. Inserting New Facts
  4. Exercises (Extensive Practice)

Ordering Rules with BPMN

  • Salience
  • Ruleflow versus BPMN 2.0
  • Executing Rule Sets from a Process
  • Rules versus Gateways
  • Overview of BPMN 2.0 Features (Transactions, Exception Handling)
  • Comprehensive Declarative Business Logic in Drools

Domain Specific Languages (DSL)

  • Creating New Languages
  • Preparing DSL for Management Use
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for Writing DSL from Rules
  • Strategies for Writing Rules from DSL Created by Analysts

Unit Testing

  1. Testing Strategies (Per Case versus Per Rule)
  2. Automating Test Execution

Requirements

While not mandatory, programming proficiency in any language is highly recommended (e.g., SQL, Java, C#, VBA, etc.).

 21 Hours

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