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Course Outline

Introduction to Rule Engines

  • Artificial Intelligence
  • Expert Systems
  • Understanding Rule Engines
  • Benefits of Using a Rule Engine
  • Advantages of Rule Engines
  • Appropriate Use Cases for Rule Engines
  • Scripting and Process Engines
  • When to Avoid Using a Rule Engine
  • Strong and Loose Coupling Concepts
  • Defining Rules

Creating and Implementing Rules

  • Facts and Models
  • KIE
  • Versioning and Repository Management for Rules
  • Practical Exercises

Domain-Specific Language (DSL)

  • Replacing Standard Rules with DSL
  • Testing DSL-Based Rules
  • Practical Exercises

jBPM

  • Integration with Drools
  • Overview of Core BPMN Standards
  • Invoking Rules Within Processes
  • Grouping and Organizing Rules
  • Practical Exercises

Fusion

  • Understanding Complex Event Processing
  • Overview of Fusion Capabilities
  • Practical Exercises

Mvel - The Rule Language

  • Filtering by Fact Type and Field
  • Operators
  • Compound Conditions
  • Operator Precedence
  • Accumulate Functions (including average, min, max, sum, collectList, etc.)

Rete - Under the Hood

  • Compilation Algorithms
  • Drools RETE Extensions
  • Node Types
  • Understanding the Rete Tree Structure
  • Rete Optimization Techniques

Testing Rules

  • Testing with KIE
  • Testing with JUnit

OptaPlanner

  • Overview of OptaPlanner
  • Illustrative Examples

Integrating Rules with Applications

  • Invoking Rules from Java Code

Requirements

Fundamental understanding of an object-oriented programming language.

Familiarity with the relational data model (RDBMS).

Basic concepts of Business Process Modelling.

 21 Hours

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