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Course Outline

Introduction to Rule Engines

  1. Brief history of Expert Systems and Rules Engines
  2. What constitutes Artificial Intelligence?
  3. Forward vs. Backward chaining
  4. Declarative vs. Procedural/OOP approaches
  5. Comparison of available solutions
  6. When to utilize rule engines?
  7. When to avoid 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. Overview of repository management (git)
  10. Developing a simple process 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 (extensive practice)
  5. Ordering rules with BPMN
    • Salience
    • Ruleflow vs. BPMN 2.0
    • Executing a ruleset from a process
    • Rules vs. 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 manager usage
    • Basic Natural Language Processing (NLP) with DSL
  7. Fusion (CPE) and 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. Updating rules/processes post-deployment without recompilation

Requirements

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

Audience

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

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