インテリジェント・オートメーションのためのWorkFusion RPA Expressのトレーニングコース

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.         
 

Skope-rules is a Python machine learning module built on top of scikit-learn.

In this instructor-led, live training (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.

Format of the Course

• Part lecture, part discussion, exercises and heavy hands-on practice in a live-lab environment.

Note

• To request a customized training for this course, please contact us to arrange.
• To learn more about skope-rules, please visit: https://github.com/scikit-learn-contrib/skope-rules

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

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.

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.

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.