* * * Training in GERMAN language! * * *

Identify patterns, trends, and interconnections in networked Systems and learn how to implement AI solutions in the sense of Agentic AI!

The five-day “Certified Citizen Data Scientist” training course, in cooperation with the SUCCESSFACTORY consulting group, enables employees without specialized statistical knowledge to make data-driven decisions in their everyday work. Using practical examples and modern AI tools such as ChatGPT, KNIME, and n8n, participants learn to systematically analyze data and implement simple machine learning use cases. The focus is on the continuous improvement of processes and product quality through the targeted use of artificial intelligence and data-based modeling.

• Access to modern AI tools (Copilot, KNIME, n8n)
• Ability to make data-driven decisions in your own area of work
• Practical application for process and quality improvement
• Interactive teaching of methods and tools using real case studies
• Internationally recognized certificate as proof of your competence

Target Group

This training is designed for individuals who want to learn from data, implement mathematical models themselves, and advance data-driven decision-making processes. No programming skills are required, as we work with "no-code tools" like KNIME. We particularly address individuals working in development, production, quality management, and energy management.

Learning objectives

Participants learn to systematically analyze data, create mathematical models, and use modern AI tools such as Copilot, KNIME, and n8n in practice to independently implement data-driven projects. The focus is on the application of the CRISP-DM workflow, the development and validation of forecasting models, and the automation of processes through AI Agents, whereby what has been learned is applied directly in one’s own project.

• 01 | Systematic analysis of data and implementation of mathematical models
• 02 | Handling of tools for Machine Learning and Predictive/Prescriptive Analytics (e.g. Copilot, KNIME, n8n)
• 03 | Application of the CRISP-DM workflow for data-driven projects
• 04 | Creation and validation of forecasting models (decision trees, neural networks)
• 05 | Automation of processes using AI Agents (n8n)
• 06 | Performing feature engineering and getting to know ensemble models (e.g. principal component analysis, variable reduction)
• 07 | Apply what you have learned directly in your own project and experience success

Organizational Matters

• Date: 5-day seminar from Nov 30 to Dec 4
• Venue: University of Leoben, Chair WBW, Peter-Tunner-Straße 25-27 (3rd floor)
• Language: Training in GERMAN language
• Participation fee: EUR 3.490,-  //  optional EUR 350,- Certification