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Course Outline

Introduction to Rule Engines

  1. Brief history of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward chaining versus backward chaining
  4. Declarative programming versus procedural/Object-Oriented (OOP) approaches
  5. Comparing available solutions
  6. When to utilize rule engines
  7. When to avoid rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative models versus 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, limitations, and benefits
  8. Developing simple processes incorporating rules

Writing Rules in Eclipse

  1. Stateless versus stateful sessions
  2. Selecting appropriate facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Extensive hands-on exercises

Ordering Rules with BPMN

  • Using 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 existing rules
  • Strategies for writing rules from DSL authored by analysts

Unit Testing

  1. Test strategies (test per case versus test per rule)
  2. Automating test execution

Requirements

While not mandatory, strong programming skills in any language (such as SQL, Java, C#, or VBA) are highly recommended.

 21 Hours

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