Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Short introduction to rule engines
- Brief history of Expert Systems and Rules Engines
- Understanding Artificial Intelligence
- Forward chaining versus backward chaining
- Declarative approaches versus procedural/object-oriented programming
- Comparison of available solutions
- When to utilize rule engines?
- When to avoid rule engines?
- Alternatives to rule engines
KIE
- Declarative models versus traditional fact models
- Executing simple rules with straightforward tests
- Authoring assets
- Decision tables
- Rule templates
- Guided rule editor
- Testing, limitations, and benefits
- Developing simple processes that incorporate rules
Writing rules in Eclipse
- Stateless versus stateful sessions
- Selecting the appropriate facts
- Basic operators and Drools-specific operators
- Basic accumulate functions (sum, max, etc.)
- Intermediate calculations
- Inserting new facts
- Exercises (numerous hands-on examples)
Ordering rules with BPMN
- Salience
- Ruleflow versus BPMN 2.0
- Executing a rule set from a process
- Distinguishing rules from 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 management consumption
- Basic Natural Language Processing (NLP) using DSL
- Strategies for writing DSL based on rules
- Strategies for translating analyst-written DSL into rules
Unit testing
- Testing strategies (test per case versus test per rule)
- Automating test execution
Requirements
While not mandatory, programming proficiency in any language (such as SQL, Java, C#, or VBA) is strongly recommended.
21 Hours
Testimonials (2)
I loved that he was able to see our machines to help us when we got stuck.
Megan Burns - Sandia National Labs
Course - Drools 7 and DSL for Business Analysts
Exercises and solving problems in groups when the problems were more difficult.