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Course Outline

Short introduction to rule engines

  1. A brief history of Expert Systems and Rules Engines
  2. Understanding Artificial Intelligence
  3. Forward vs Backward chaining
  4. Declarative vs procedural/OOP
  5. Comparing different solutions
  6. When to use rule engines
  7. When not to use rule engines
  8. Alternatives to rule engines

KIE

  1. Authoring Assets
  2. Workbench Integration
    • Executing rules directly from KIE
    • Deployment
  3. Decision tables
  4. Rule Templates
  5. Guided rule editor
  6. Testing
  7. Work Items
  8. Versioning and deployment
  9. An overview of the repository (Git)
  10. Developing simple processes with rules

Writing rules in Eclipse

  1. Stateless vs Stateful sessions
  2. Selecting appropriate facts
    • Basic and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Hands-on exercises (plenty of them)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow vs BPMN 2.0
    • Executing rulesets from a process
    • Rules vs gateways
    • An overview of BPMN 2.0 features (transactions, exception handling)
    • Comprehensive declarative business logic in Drools
  6. Domain Specific Languages (DSL)
    • Creating new languages
    • Preparing DSL for managerial use
    • Basic Natural Language Processing (NLP) with DSL
  7. Fusion (CPE), temporal reasoning (for events to happen after, between, etc.)
    • Fusion operators
    • Example in Event Schedules
  8. Unit testing

Optional Topics

  1. OptaPlanner
  2. jBPM
  3. Drools integration via web services
  4. Drools integration via command line
  5. Modifying rules/processes post-deployment without recompiling

Requirements

Programming proficiency in any language is highly recommended (e.g., SQL, Java, C#, VBA, etc.).

 21 Hours

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