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Course Outline

Short 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 available solutions
  6. When to use rule engines
  7. When to avoid using rule engines
  8. Alternatives to rule engines

KIE

  1. Declarative vs. traditional fact models
  2. Executing simple rules with simple 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 the proper facts
    • Basic operators and Drools-specific operators
    • Basic accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (numerous practical examples)

Ordering rules with BPMN

  • Salience
  • Ruleflow vs. BPMN 2.0
  • Executing a ruleset from a process
  • Rules vs. gateways
  • Brief 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 managers
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for writing DSL based on rules
  • Strategies for writing rules based on DSL created by analysts

Unit testing

  1. Test strategies (test per case or per rule)
  2. Executing tests automatically

Requirements

While not mandatory, programming skills in any language (such as SQL, Java, C#, VBA, etc.) are highly recommended.

 21 Hours

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