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Course Outline

Short introduction to rule engines

  1. Brief history of Expert Systems and Rules 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. 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. Insight into the repository (Git)
  10. Developing a simple process with rules

Writing rules in Eclipse

  1. Stateless vs. Stateful sessions
  2. Selecting proper facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (numerous exercises)
  5. 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
  6. Domain Specific Languages (DSL)
    • Creating new languages
    • Preparing DSL for managers
    • 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 and integration via web services
  4. Drools integration via command line
  5. How to change rules/processes after deployment without recompiling

Requirements

Strong programming skills in any language are highly recommended (SQL, Java, C#, VBA, etc.).

 21 Hours

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