Business Rules Training in Helsinki

This course is created for people who have no previous experience in probability and statistics.

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

Smart Contracts are used to encode and encapsulate the rules for automatically initiating and processing transactions on the Blockchain. In this instructor-led, live training, participants will learn how to use IBM Operational Decision Manager (ODM) with Hyperledger Composer to implement the business logic of a Smart Contract using business rules. By the end of this training, participants will be able to:

• Use ODM's rule engine together with Blockchain to "unbury" rules from the codebase of a Blockchain application
• Set up a system to allow specialist such as accountants, auditors, lawyers, and analysts to define the rules of exchange for themselves
• Use Decision Center as a platform to collaboratively govern rules
• Use ODM's rule engine to update, test and deploy rules without touching the code of the Smart Contract
• Deploy the IBM ODM Rule Execution Server
• Integrate IBM ODM with Hyperledger Composer running on Hyperledger Fabric

Audience

• Developers

Format of the course

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

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 3 days course is aimed to introduce Drools 6 to developers. This course doesn't cover drools integration, performance or any other complex topics.

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

Infinispan is a distributed cache and key-value NoSQL data store software developed by Red Hat.

JBoss Application Server (JBoss AS) is an open-source, Java application server developed by JBoss, a division of Red Hat Inc.

BPMN (Business Process Model and Notation) and DMN (Decision Model and Notation) are two OMG (Object Management Group) standards for process modeling and decision making. This training provides an introduction to these standards and how they should be used.

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

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 Helsinki (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.