From Zero to AIのトレーニングコース

このコースは、エンタープライズアーキテクト、ビジネスアナリスト、システムアナリスト、技術マネージャー、および開発者向けです。彼らはソリューションにビジネスルールを適用したいと考えています。

このコースには多くの実践的な演習が含まれており、参加者は動作するルールを作成します。Droolsの概要が必要な場合は、他のコースを参照してください。

このコースは通常、最新の安定したバージョンのDroolsとjBPMを使用して提供されますが、カスタムコースの場合には特定のバージョンに合わせて調整することができます。

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 日本 (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.

この3日間のコースは、開発者に対して Drools 7 を紹介することを目的としています。このコースでは、Drools の統合、パフォーマンス、その他の複雑なトピックは扱いません。

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.

このコースは、システム管理者、システムインテグレーター、アプリケーションサーバー管理者など、企業の知識資産（ルール、プロセス）を管理する人々向けに準備されています。最新の安定したコミュニティバージョンの Drools を使用してこのコースを行いますが、予約前に合意があれば古いバージョンでの実施も可能です。

This instructor-led, live training in 日本 (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 course teaches how to design and execute decisions with OMG DMN (Decision Model and Notation) standard.

このコースでは、実践的なアプローチを用いて OptaPlanner の使用方法を教授します。参加者が必要とする基本機能のツールを提供します。

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 日本 (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.