I liked the logic exercises (writing rules conditions) on the 2nd day.
Jan Janke- CERN
Drools Training Courses
An Open Source Business Rule Management System (BRMS) courses
Client Testimonials
Drools Course Outlines
| Code | Name | Duration | Overview |
|---|---|---|---|
| wfsadm | WildFly Server Administration | 14 hours | This course is created for Administrators, Developers or anyone who is interested in managing WildFly Application Server (AKA JBoss Application Server). This course usually runs on the newest version of the Application Server, but it can be tailored (as a private course) to older versions starting from version 5.1. Module 1: Installing Core Components Installing the Java environment Installing JBoss AS Application server features Creating a custom server configuration Module 2: Customizing JBoss AS Services How to monitor JBoss AS services JBoss AS thread pool Configuring logging services Configuring the connection to the database Configuring the transaction service Module 3. Deploying EJB 3 Session Beans Developing Enterprise JavaBeans Configuring the EJB container Module 4: Deploying a Web Application Developing web layout Configuring JBoss Web Server Module 5: Deploying Applications with JBoss Messaging Service The new JBoss Messaging system Developing JMS applications Advanced JBoss Messaging Module 6: Managing JBoss AS Introducing Java Management Extension JBoss AS Administration Console Managing applications Administering resources |
| drools6int | Introduction to Drools 6 for Developers | 21 hours | This 3 days course is aimed to introduce Drools 6 to developers.This course doesn't cover drools integration, performance or any other complex topics. 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 |
| droolsrlsadm | Drools Rules Administration | 21 hours | This course has been prepared for people who are involved in administering corporate knowledge assets (rules, process) like system administrators, system integrators, application server administrators, etc... We are using the newest stable community version of Drools to run this course, but older versions are also possible if agreed before booking.Drools Administration 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? Where things are Managing rules in a jar file Git repository Executing rules from KIE Managing BPMN and workflows files Moving knowledge files (rules, processes, forms, work times...) Rules Testing Where to store test How to execute tests Testing with JUnit Deployment Strategies stand alone application Invoking rules from Java Code integration via files (json, xml, etc...) integration via web services using KIE for integration Administration of rules authoring Packages Artifact Repository Asset Editor Validation Data Model Categories versioning Domain Specific Languages Optimizing hardware and software for rules execution Multithreading and Drools Kie Projects structures Lifecycles Building Deploying Running Installation and Deployment Cheat Sheets Organization Units Users, Rules and Permissions Authentication Repositories Backup and Restore Logging |
| drools7dslba | Drools 7 and DSL for Business Analysts | 21 hours | This 3 days course is aimed to introduce Drools 7 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 |
| droolsdslba | 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 |
| brmsdrools | 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 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 Application |
| drools7int | Introduction to Drools 7 for Developers | 21 hours | This 3 days course is aimed to introduce Drools 7 to developers.This course doesn't cover drools integration, performance or any other complex topics. 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 |
| bldrools | 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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