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Course Outline

Short introduction to rule engines

  1. Short history of Expert Systems and Rule Engines
  2. What is Artificial Intelligence?
  3. Forward vs Backward chaining
  4. Declarative vs procedural/OOP approaches
  5. Comparison of 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 Model
  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 with rules

Writing rules in Eclipse

  1. Stateless vs Stateful sessions
  2. Selecting appropriate facts
    • Basic operators and Drools-specific operators
    • Basic accumulation functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (extensive hands-on practice)

Ordering rules with BPMN

  • Salience
  • Ruleflow vs BPMN 2.0
  • Executing a ruleset from a process
  • Rules vs gateways
  • Short 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 deriving DSL from rules
  • Strategies for writing rules from DSL authored by analysts

Unit testing

  1. Test strategies (test per case or per rule)
  2. Automated test execution

Requirements

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

 21 Hours

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