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Course Outline

Short introduction to rule engines

  1. Brief 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 available 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. Further insights on repositories (Git)
  10. 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 (numerous)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow vs BPMN 2.0
    • Executing a ruleset from a process
    • Rules vs gateways
    • Brief overview of BPMN 2.0 features (transactions, exception handling)
    • Comprehensive declarative business logic in Drools
  6. Domain-Specific Languages (DSL)
    • Creating new languages
    • Preparing DSLs for use by managers
    • Basic Natural Language Processing (NLP) with DSL
  7. Fusion (CPE), temporal reasoning (for events occurring 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 modify rules/processes post-deployment without recompilation

Requirements

  • Programming skills in any language (e.g., SQL, Java, C#, VBA)

Audience

  • Software developers
  • System architects
  • Technical decision-makers evaluating rule engines
 21 Hours

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