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Course Outline

Short introduction to rule engines

  1. Overview of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward vs. Backward Chaining
  4. Declarative vs. Procedural/OOP Approaches
  5. Comparing Different Solutions
  6. When to Use Rule Engines
  7. When Not to Use Rule Engines
  8. Alternatives to Rule Engines

KIE

  1. Declarative vs. Traditional Fact Models
  2. Executing Simple Rules with Basic Tests
  3. Authoring Assets
  4. Decision Tables
  5. Rule Templates
  6. Guided Rule Editor
  7. Testing: Benefits and Limitations
  8. Developing Simple Processes with Rules

Writing Rules in Eclipse

  1. Stateless vs. 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. Practical Exercises (Numerous)

Ordering Rules with BPMN

  • Salience
  • Ruleflow vs. BPMN 2.0
  • Executing Rule Sets from a Process
  • Rules vs. 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 Use by Managers
  • 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 vs. Per Rule)
  2. Automating Test Execution

Requirements

While not mandatory, programming proficiency in any language (such as SQL, Java, C#, VBA, etc.) is strongly recommended.

 21 Hours

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