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Course Outline

Introduction to Rule Engines

  1. Brief history of Expert Systems and Rules Engines
  2. Understanding Artificial Intelligence
  3. Forward chaining vs. Backward chaining
  4. Declarative vs. Procedural/OOP approaches
  5. Comparison of various 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. Overview of repository (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 (numerous)
  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)
    • 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
    • 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. Updating rules/processes post-deployment without recompilation

Requirements

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

Target Audience

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

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