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Course Outline

Introduction to Rule Engines

  1. Brief history of Expert Systems and Rule Engines
  2. Understanding Artificial Intelligence
  3. Forward vs. Backward Chaining
  4. Declarative vs. Procedural/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 (Knowledge is Everything)

  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. Insights into Repository Management (Git)
  10. Developing Simple Processes with Rules

Writing Rules in Eclipse

  1. Stateless vs. Stateful Sessions
  2. Selecting Proper Facts
    • Basic and Drools-Specific Operators
    • Basic Accumulate Functions (sum, max, etc.)
    • Intermediate Calculations
  3. Inserting New Facts
  4. Exercises (Extensive Practice)
  5. Orchestrating Rules with BPMN
    • Salience
    • Ruleflows vs. BPMN 2.0
    • Executing Rulesets 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 DSLs for Manager 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. Changing Rules/Processes Post-Deployment Without Compiling

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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