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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 chaining versus backward chaining
  4. Declarative approaches compared to procedural and OOP styles
  5. Comparison of various solutions
  6. When to utilize rule engines
  7. Situations where rule engines are not suitable
  8. Alternatives to rule engines

KIE

  1. Declarative models versus traditional Fact Models
  2. Executing simple rules with straightforward tests
  3. Creating Assets
  4. Decision tables
  5. Rule Templates
  6. Guided rule editor
  7. Evaluating testing, limitations, and benefits
  8. Building a simple process incorporating rules

Writing Rules in Eclipse

  1. Differences between Stateless and Stateful sessions
  2. Selecting appropriate facts
    • Basic operators and Drools-specific operators
    • Fundamental accumulate functions (sum, max, etc.)
    • Intermediate calculations
  3. Inserting new facts
  4. Exercises (numerous hands-on tasks)

Ordering Rules with BPMN

  • Salience
  • Ruleflow versus BPMN 2.0
  • Executing a ruleset from a process
  • Distinguishing between rules and gateways
  • Overview of BPMN 2.0 features (transactions, exception handling)
  • Achieving comprehensive declarative business logic in Drools

Domain Specific Languages (DSL)

  • Creating new languages
  • Preparing DSL for managerial use
  • Basic Natural Language Processing (NLP) with DSL
  • Strategies for writing DSL from existing rules
  • Approaches for translating analyst-written DSL into rules

Unit Testing

  1. Testing strategies (testing per case or per rule)
  2. Automating test execution

Requirements

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

 21 Hours

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