
Online or onsite, instructor-led live Business Rules training courses demonstrate through interactive discussion and hands-on practice how to use business rules to assert business structure or to control business behavior.
Business Rules training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Hong Kong onsite live Business Rules trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Testimonials
Lots of exercises, which were good and which were well-administered.
Joseph Richardson
Course: Introduction to Drools 6 for Developers
Nice Linux based training environment, a lot of examples and good web based documentation.
Roberto Campesato - CERN (The European Organization for Nuclear Research
Course: Introduction to Drools 6 for Developers
I really enjoyed the good atmosphere.
Martin Jesterschawek
Course: Business Rule Management (BRMS) with Drools
I liked the interactive approach, keeps the training interesting.
Elaine McCarthy
Course: Introduction to Drools 6 for Developers
Very well delivered.
Damien Reid
Course: Introduction to Drools 6 for Developers
Interactive trainer, helpful and had lots of suggestions for participants.
Liam Donovan
Course: Introduction to Drools 6 for Developers
It was nice to see some other editors, other details around bpmn.
Derek Doherty
Course: Introduction to Drools 6 for Developers
I really was benefit from the exercises in Eclipse.
Anna Beluskova
Course: Introduction to Drools 6 for Developers
I generally enjoyed the exercises.
Merin Tony
Course: Introduction to Drools 6 for Developers
The exercises were great and the material is short and concise.
Anjali Sharma
Course: Introduction to Drools 6 for Developers
It met our expectations.
Vadim Bilan
Course: Introduction to Drools 6 for Developers
Maintaining speed with taking every one in the group along. Exercise oriented. Tried to cover as much as possible comfortably.
Rakesh Prajapati
Course: Introduction to Drools 6 for Developers
I was benefit from the flexibility and thorough explanations regarding the usage.
Denis Kirchhübel
Course: Introduction to Drools 6 for Developers
I liked the positive and optimistic attitude. Gives good answers to questions.
Emil Krabbe Nielsen
Course: Introduction to Drools 6 for Developers
The instructor was EXTREMELY knowledgeable and had very good interaction with the class. I'm glad he was able to see our screens and give us help when needed.
Sandia National Labs
Course: Drools 7 and DSL for Business Analysts
Exercises and solving problems in groups when the problems were more difficult.
Randy Comer Comer - Sandia National Labs
Course: Drools 7 and DSL for Business Analysts
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
Filip was kind and patient and was generally responsive about questions and help.
Sandia National Labs
Course: Drools 7 and DSL for Business Analysts
Various aspects of the Rules engine world, the teacher was helpful and presented in a very structured way.
Combined Computer Services C.C.S. B.V.
Course: Business Rule Management (BRMS) with Drools
I mostly liked the exercises.
Combined Computer Services C.C.S. B.V.
Course: Business Rule Management (BRMS) with Drools
I generally liked the excercises.
Combined Computer Services C.C.S. B.V.
Course: Business Rule Management (BRMS) with Drools
He was very clear.
Combined Computer Services C.C.S. B.V.
Course: Business Rule Management (BRMS) with Drools
The provided wiki (extensive and clear), pace of training and natural way of presenting by Filip.
Combined Computer Services C.C.S. B.V.
Course: Business Rule Management (BRMS) with Drools
a lot of practices are very welcome, many try and learn cases are embedded
Nadia Ivaniuk - Credit Suisse (Poland) Sp.z o.o.
Course: Modelling Decision and Rules with OMG DMN
A lot of exercises
Paweł Zięba - Credit Suisse (Poland) Sp.z o.o.
Course: Modelling Decision and Rules with OMG DMN
choice of exercises
Credit Suisse (Poland) Sp.z o.o.
Course: Modelling Decision and Rules with OMG DMN
numerous practical exercises
Anna Prusak - Credit Suisse (Poland) Sp.z o.o.
Course: Modelling Decision and Rules with OMG DMN
Business Rules Subcategories in Hong Kong
Business Rules Course Outlines in Hong Kong
- System Architects
- how to develop business applications on the Pega Platform.
- Pega's rules-based architecture for setting up process flows, UI screens, automated decisions, and properties.
- how to model real-world business processes.
- how to enhance the design of the business application.
- how to configure case and case processing behavior.
- how to automate decision-making throughout an application
- how to manage reference data to allow applications to adapt to changing business conditions.
- 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
- Developers
- Project managers
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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
- Developers
- Part lecture, part discussion, exercises and heavy hands-on practice
- 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.
- Apply a standard methodology and toolset to create an enterprise-level Business Rules Repository.
- Integrate OpenRules with readily available software such as Excel, Google Docs and Eclipse.
- Create cooperative workflows that are accessible to both Business and Technical Analysts
- Create a decision making application that business people can own and manage themselves
- Business Analysts
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
- To learn more about OpenRules, please visit: https://openrules.com/
- Extract patterns and classification from large data sets
- Combine different software components and techniques to generate business rules
- Store, manage and optimize business rules in a rules repository
- Developers
- Data scientists
- System architects
- Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.
- To request a customized training for this course, please contact us to arrange.
- To learn more about Rules Learner, please visit: http://openrules.com/rulelearner.htm
- 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.
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