Business Rules Training in Koszalin

This instructor-led, live training in Koszalin (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 Koszalin (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 Koszalin (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 Koszalin (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 Koszalin (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.

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 instructor-led, live training in Koszalin (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.

The training has been designed for individuals who want to effectively work with data using Python, leveraging libraries such as Pandas, NumPy, and tools for integration with Excel. Participants will learn both the basics of data manipulation and advanced techniques for code optimization, processing large datasets, and creating compelling reports and visualizations.

Throughout the course, participants will step-by-step learn:

how to import, process, and analyze data using Pandas and NumPy, optimize Python code performance, automate report and chart generation in Excel, and integrate various data sources into a cohesive analytical process.

This training allows participants to gradually enter the world of programming in the Python language. The course covers the most important elements of the language—from basic syntax and working with the environment, through data operations and program flow control, up to functions, modules, and the first elements of object-oriented programming.

Participants will become familiar with key constructs used in daily programming work, learn algorithmic thinking, and organize code in a transparent and consistent manner according to best practices. During the training, significant emphasis is placed on writing high-quality code and error analysis.

Upon completion of the training, participants will be able to independently write simple scripts, create functions and classes, organize projects into files, as well as understand, analyze, and run Python code in practical applications.

The training focuses on building a Retrieval Augmented Generation (RAG) system, which combines the capabilities of large language models with information retrieval from local documents. Participants will learn how to create applications that answer questions based on their own data, eliminating the problem of hallucinations and knowledge limitations in LLMs.

The program guides participants through all key stages of creating a RAG system. They will become familiar with communication principles using the OpenAI API and the LangChain framework, which facilitates working with language models. Participants will learn how to process documents in various formats, divide them into optimal segments, and transform them into vector representations. They will also get to know the Qdrant database and mechanisms for semantic search based on embedding similarity.

We place special emphasis on the quality of system performance—participants will implement result reranking techniques and learn how to quantify retrieval effectiveness and generated responses using the DeepEval library. The program also covers practical aspects of prompt engineering and methods for avoiding typical pitfalls when working with LLMs.

The outcome of the training will be a functional web application built in Streamlit, which allows users to ask questions about their own document base. Upon completing the course, participants will be able to independently design and implement a RAG system tailored to their specific business needs.

This training focuses on practical use of the Streamlit library to create interactive web applications and analytical dashboards in Python. Participants will learn to build functional user interfaces without needing knowledge of HTML, CSS, or JavaScript.

The program covers all key components of Streamlit – from basic text elements and layout to interactive input widgets, advanced features such as forms, charts, and file handling. Participants will understand session state management, result caching, and database integration, enabling them to create efficient production applications.

We emphasize practical application – each theoretical module is supplemented with exercises, and the training concludes with the creation of a complete project or two, depending on time availability.

Upon completing the training, participants will be able to design Streamlit applications independently – from simple dashboards to advanced analytical tools. They will gain skills for rapid prototyping of data science solutions and creating interfaces for machine learning models.