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Course Outline

Brief introduction to rule engines

  1. Brief history of Expert Systems and Rules Engines
  2. Understanding Artificial Intelligence
  3. Forward vs. backward chaining
  4. Declarative vs. procedural/OOP approaches
  5. Comparison of various solutions
  6. When to utilize rule engines
  7. When to avoid rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative vs. traditional fact models
  2. Executing simple rules with basic tests
  3. Authoring assets
  4. Decision tables
  5. Rule templates
  6. Guided rule editor
  7. Testing, limitations, and benefits
  8. 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 (extensive practice)

Ordering rules with BPMN

  • Salience
  • Ruleflow vs. BPMN 2.0
  • Executing a rule set from a process
  • Rules vs. gateways
  • Overview of BPMN 2.0 features (transactions, exception handling)
  • Comprehensive declarative business logic in Drools

Domain Specific Languages (DSL)

  • Creating new languages
  • Preparing DSL for use by management
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for writing DSL from rules
  • Strategies for writing rules from DSL authored by analysts

Unit testing

  1. Testing strategies (test per case vs. per rule)
  2. Automated test execution

Requirements

While not mandatory, programming proficiency in languages such as SQL, Java, C#, or VBA is strongly recommended.

 21 Hours

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