Business Rules Training Courses

Business Rules Training

Business Rules Engine training

Client Testimonials

Introduction to Drools 6

I liked the logic exercises (writing rules conditions) on the 2nd day.

Jan Janke- CERN

Introduction to Drools 6

I liked the logic exercises (writing rules conditions) on the 2nd day.

Jan Janke- CERN

Introduction to Drools 6

I liked the logic exercises (writing rules conditions) on the 2nd day.

Jan Janke- CERN

Introduction to Drools 6

I liked the logic exercises (writing rules conditions) on the 2nd day.

Jan Janke- CERN

Subcategories

DMN Training

Business Rules Course Outlines

ID Name Duration Overview
290292 Drools 6 and DSL for Business Analysts 21 hours This 3 days course is aimed to introduce Drools 6 to Business Analysts responsible for writing tests and rules. This course focuses on creating pure logic. Analysts after this course can writing tests and logic which then can be further integrated by developers with business applications. Short introduction to rule engines Short history or Expert Systems and Rules Engine What is Artificial Intelligence? Forward vs Backward chaining Declarative vs procedure/oop Comparison of solutions When to use rule engines? When not to use rule engines? Alternatives to rule engines KIE Declarative vs Traditional Fact Model Executing simple rules with simple tests Authoring Assets Decision tables Rule Templates Guided rule editor Testing, limits and benefits Developing simple process with rules Writing rules in Eclipse Stateless vs Stateful sessions Selecting proper facts Basic operators and Drools specific operators ) Basic accumulate functions (sum, max, etc...) ​Intermediate calculations Inserting new facts Exercises (lots of them) Ordering rules with BPMN Salience Ruleflow vs BPMN 2.0 Executing ruleset from a process Rules vs gateways Short overview of BPMN 2.0 features (transactions, exception handling) Comprehensive declarative business logic in Drools Domain Specific Languages (DSL) Creating new languages Preparing DSL to be used by manages Basic Natural Language Processing (NLP) with DSL Strategies for writing DSL from rules Strategies for writing rules from DSL written by analysts Unit testing Test strategies (test per case or per rule) Executing test automatically
287810 Modelling Decision and Rules with OMG DMN 14 hours This course teaches how to design and execute decisions in rules with OMG DMN (Decision Model and Notation) standard.Introduction to DMN Short history Basic concepts Decision requirements Decision log Scope and uses of DMN (human and automated decision making) Decision Requirements DRG DRD Decision Table Simple Expression Language (S-FEEL) FEEL Overview of Execution Tools available on the market Simple scenarios and workshop for executing the decision tables
284994 Managing Business Rules with PHP Business Rules 14 hours This course explain how to write declarative rules using PHP Business Rules (http://sourceforge.net/projects/phprules/). It shows how to write, organize and integrate rules with existing code. Most of the course is based on exercises preceded with short introduction and examples. Short Introduction to Rule Engines Artificial Intelligence Expert Systems What is a Rule Engine? Why use a Rule Engine? Advantages of a Rule Engine When should you use a Rule Engine? Scripting or Process Engines When you should NOT use a Rule Engine Strong and Loose Coupling What are rules? Creating and Implementing Rules Fact Model Rule independence Priority, flags and processes Executing rules Integrating rules with existing applications and Rule Maintenance Rule integration PHP Unit tests and automated testing DDD and TDD with Business rules
2432 Introduction to Drools 6 21 hours This 3 days course is aimed to introduce Drools 6 to developers as well as business analysts. Short introduction to rule engines Short history or Expert Systems and Rules Engine What is Artificial Intelligence? Forward vs Backward chaining Declarative vs procedure/oop Comparison of solutions When to use rule engines? When not to use rule engines? Alternatives to rule engines KIE Authoring Assets Workbench Integration Executing rules directly from KIE Deployment Decision tables Rule Templates Guided rule editor Testing Work Items Versioning and deployment A bit more about repository (git) Developing simple process with rules Writing rules in Eclipse Stateless vs Stateful sessions Selecting proper facts Basic operators and Drools specific operators ) Basic accumulate functions (sum, max, etc...) ​Intermediate calculations Inserting new facts Exercises (lots of them) Ordering rules with BPMN Salience Ruleflow vs BPMN 2.0 Executing ruleset from a process Rules vs gateways Short overview of BPMN 2.0 features (transactions, exception handling) Comprehensive declarative business logic in Drools Domain Specific Languages (DSL) Creating new languages Preparing DSL to be used by manages Basic Natural Language Processing (NLP) with DSL Fusion (CPE), temporal reasoning (for events to happen after, between, etc...) Fusion operators Example in Event Schedules Unit testing Optional Topics OptaPlanner jBPM Drools and integration via web services Drools integration via command line How to change rules/process after deployment without compiling
1245 Business Rule Management (BRMS) with Drools 7 hours This course is aimed at enterprise architects, business and system analysts and managers who want to apply business rules to their solution. With Drools you can write your business rules using almost natural language, therefore reducing the gap between business and IT. Short Introduction to Rule Engines Artificial Intelligence Expert Systems What is a Rule Engine? Why use a Rule Engine? Advantages of a Rule Engine When should you use a Rule Engine? Scripting or Process Engines When you should NOT use a Rule Engine Strong and Loose Coupling What are rules? Creating and Implementing Rules Fact Model KIE Spreadsheet Eclipse Domain Specific Language (DSL) Replacing rules with DSL Testing DSL rules jBPM Integration with Drools Fusion What is Complex Event Processing? Short overview on Fusion Rules Testing Testing with KIE Testing with JUnit Integrating Rules with Applications Invoking rules from Java Code
2027485 From Zero to AI 35 hours This course is created for people who have no previous expierence in probability and statistics.   Probability (3.5h) Definition of probability Binomial distribution Everyday usage exercises Statistics (10.5h) Descriptive Statistics Inferential Statistics Regression Logistic Regression Exercises Intro to programming (3.5h) Procedural Programming Funcional Programming OOP Programming Exercises (writing logic for a game of choice, e.g. cross and noughts) Machine Learning (10.5h) Classification Clustering Neural Networks Exercises (write AI for a computer game of choice) Rules Engines and Expert Systems (7 hours) Intro to Rule Engines Write AI for the same game and combing solutions into hybrid approach
2550 Managing Business Logic with Drools 21 hours This course is aimed at enterprise architects, business and system analysts, technical managers and developers who want to apply business rules to their solutions. This course contains a lot of simple hands-on exercises during which the participants will create working rules. Please refer to our other courses if you just need an overview of Drools. This course is usually delivered on the newest stable version of Drools and jBPM, but in case of a bespoke course, can be tailored to a specific version. Short Introduction to Rule Engines Artificial Intelligence  Expert Systems What is a Rule Engine? Why use a Rule Engine? Advantages of a Rule Engine When should you use a Rule Engine? Scripting or Process Engines When you should NOT use a Rule Engine Strong and Loose Coupling What are rules? Creating and Implementing Rules Fact Model KIE Rules visioning and repository Exercises Domain Specific Language (DSL) Replacing rules with DSL Testing DSL rules Exercises jBPM Integration with Drools Short overview of basic BPMN Invoking rules from a processes Grouping rules Exercises Fusion What is Complex Event Processing? Short overview on Fusion Exercises Mvel - the rule language Filtering (fact type, field Operators Compound conditions Operators priority Accumulate Functions (average, min, max, sum, collectList, etc....) Rete - under the hood Compilation algorithm Drools RETE extensions Node Types Understating Rete Tree Rete Optimization Rules Testing Testing with KIE Testing with JUnit OptaPlanner An overview of OptaPlanner Simple examples Integrating Rules with Applications Invoking rules from Java Code
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