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Course Outline

Brief 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 procedure/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 repository management (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 accumulate 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 rule sets from a process
    • Rules vs gateways
    • 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 occurring 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. How to change rules/processes after deployment without recompiling

Requirements

  • Programming proficiency 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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