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Course Outline

Short 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 versus procedural/OOP approaches
  5. Comparison of available solutions
  6. When to utilize rule engines
  7. When to avoid using rule engines
  8. Alternatives to rule engines

KIE

  1. Authoring Assets
  2. KIE 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. Insights into the repository (git)
  10. Developing a simple process with 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. Exercises (extensive practice)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow versus BPMN 2.0
    • Executing a ruleset from a process
    • Rules versus gateways
    • Overview of BPMN 2.0 features (transactions, exception handling)
    • Implementing 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) and temporal reasoning (for events occurring after, between, etc.)
    • Fusion operators
    • Examples 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 or processes after deployment without recompilation

Requirements

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

 21 Hours

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