Online Business Rules Training in New Zealand

This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level participants who wish to integrate Drools 8 with jBPM to design, execute, and optimize business workflows and processes.

By the end of this training, participants will be able to:

• Set up Drools 8 and jBPM environments for development.
• Define and manage complex business rules in Drools 8.
• Design and execute workflows using jBPM.
• Integrate Drools rules into jBPM processes for dynamic decision-making.
• Optimize and troubleshoot rule-driven workflows.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level to intermediate-level business analysts who wish to use DSLs in Drools 8 to define, manage, and optimize business rules without relying heavily on technical programming skills.

By the end of this training, participants will be able to:

• Understand the core concepts of Drools 8 and its architecture.
• Create DSLs to simplify business rule definitions for non-technical users.
• Manage, test, and maintain rules effectively using Drools Workbench.
• Collaborate with technical teams to implement and refine business rules.
• Apply best practices for rule optimization and lifecycle management.

This instructor-led, live training in New Zealand (online or onsite) is aimed at advanced-level participants who wish to optimize rule execution, integrate Drools with enterprise systems, and leverage advanced features like decision tables and domain-specific languages (DSLs).

By the end of this training, participants will be able to:

• Optimize the performance of complex rule execution.
• Utilize advanced Drools features such as decision tables, DSLs, and rule templates.
• Integrate Drools seamlessly with enterprise applications and external systems.
• Implement robust version control and collaboration mechanisms for rule development.
• Design and deploy scalable Drools-based solutions for enterprise needs.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level participants who wish to build and manage complex business rules, optimize rule execution, and handle rule dependencies effectively using Drools 8.

By the end of this training, participants will be able to:

• Create advanced business rules and manage their dependencies.
• Implement decision-making logic using Drools rule groups and agendas.
• Optimize the performance of rule execution in Drools.
• Use advanced Drools Workbench features for rule management.
• Integrate Drools with external data sources and systems.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level participants who wish to learn the basics of Drools 8, set it up, and create simple business rules for better decision-making and automation.

By the end of this training, participants will be able to:

• Understand the purpose and benefits of using Drools 8.
• Set up the Drools environment and integrate it with applications.
• Create, test, and deploy simple business rules.
• Use Drools Workbench for rule management and decision tables.
• Implement Drools in real-world scenarios to automate decisions.

This instructor-led, live training in New Zealand (online or onsite) is aimed at beginner-level participants who wish to learn essential concepts in probability, statistics, programming, and machine learning, and apply these to AI development.

By the end of this training, participants will be able to:

• Understand basic concepts in probability and statistics, and apply them to real-world scenarios.
• Write and understand procedural, functional, and object-oriented programming code.
• Implement machine learning techniques such as classification, clustering, and neural networks.
• Develop AI solutions using rules engines and expert systems for problem-solving.

Business Process Model and Notation (BPMN), Decision Model and Notation (DMN) and Case Management Model and Notation (CMMN) are three Object Management Group (OMG) standards for processes, decisions, and case modelling. This course provides an introduction to all of them and informs when should we use which.

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.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level developers who wish to get a solid introduction to Drools 6 and use it to implement business rules within their applications.

By the end of this training, participants will be able to:

• Understand the core concepts and benefits of rule engines like Drools.
• Use the Drools Workbench and Eclipse for rule authoring and testing.
• Create, organize, and execute business rules with the Drools rule engine.
• Apply advanced features like decision tables, ruleflows, and DSLs.

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.

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.

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.

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.

This instructor-led, live training in New Zealand (online or onsite) is aimed at intermediate-level system administrators and developers who wish to configure, manage, and deploy Java applications on the JBoss platform.

By the end of this training, participants will be able to:

• Install and configure JBoss Application Server and its core components.
• Customize JBoss AS services for monitoring, database connections, and transaction management.
• Develop and deploy EJB 3 session beans and web applications.
• Utilize the JBoss Messaging Service to deploy and manage JMS applications.
• Manage JBoss AS through the Java Management Extension and Administration Console.
• Implement JBoss Drools for business rules management and utilize the Guvnor tool for rule development and testing.

This instructor-led, live training in New Zealand (online or onsite) is aimed at developers and business analysts who wish to build a management suite using jBPM.

By the end of this training, participants will be able to:

• Follow business goals in detail, using flow charts.
• Standarize a process to bridge the gap between design and the process implementation.
• Standardize a business process model and notation.
• Exchange BPMN definitions with other team members.

This course teaches how to design and execute decisions with OMG DMN (Decision Model and Notation) standard.

IBM ODM (a.k.a. WebSphere Operational Decision Manager) is a Business Rule Management System (BRMS). It consists of a central repository and automation engine that allow for the creation, management, testing and governance of business rules and events. Rules and events are stored in the central repository where they can be accessed and modified by individuals and software without the need to rebuild any software.

In this instructor-led, live training, participants will learn how to create, manage and execute business rules as well as how to deploy and manage an instance of IBM ODM Decision Management in a live environment.

By the end of this training, participants will be able to:

• Manage ODM components, including IBM Decision Center and IBM Decision Server
• Manage and execute business rules and events
• Reduce the testing cycle by enabling other software applications to detect and pick up changes to rules
• Combine decision making and change detection tools to facilitate adaptation, auditing, tracing and testing
• Separate business rules from business applications for greater flexibility
• Build easy-to-maintain business rule client applications
• Use Event Designer to build business event projects
• Deploy and test business event applications
• Build a customized dashboard for monitoring business events
• Enable collaboration among architects, developers and administrators for developing and maintaining decision services
• Enable business analysts, policy managers and rule authors develop and maintain an application's decision logic

Audience

• Developers
• Project managers

Format of the course

• Part lecture, part discussion, exercises and heavy hands-on practice

This course uses a practical approach to teaching OptaPlanner. It provides participants with the tools needed to perform the basic functions of this tool.

This course introduces the student to the Python language. Upon completion of this class, the student will be able to write non trivial Python programs dealing with a wide variety of subject matter domains. Topics include language components, working with a professional IDE, control flow constructs, strings, I/O, collections, classes, modules, and regular expressions. The course is supplemented with many hands-on labs, solutions, and code examples.

After Completing the course students will be able to demonstrate knowledge and understanding of Python Security Principles.         
 

In this instructor-led, live training in New Zealand (onsite or remote), participants will learn how to use Python skope-rules to automatically generate rules based on existing data sets.

By the end of this training, participants will be able to:

• Use skope-rules to extract rules from available data.
• Apply skope-rules to carry out classification, particularly useful in supervised anomaly detection, or imbalanced classification. 
• Generate rules for classifying new incoming data.
• Fit rules to address real-world problems in fraud detection, predictive maintenance, intrusion detection, insurance application approvals, etc.

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.