Module: AI-Supported Process and Knowledge Engineering
This certificate module combines four complementary short courses in a structured learning path.
Participants build a broad understanding of AI-supported process and knowledge engineering, covering business process engineering, process mining, data & knowledge engineering, and big data management. The module further explores how AI-driven methods, semantic technologies, data analytics, and automation interact in the development of intelligent, efficient, and data-centric organizational solutions.
General Information
| Date | May 31 - Jun 11, 2027 |
| Duration | 10 days |
| Location | On campus - Karlsruhe |
| Language | English |
| ECTS | 8 |
| Cost | 4,980€ |
Further questions?
Martina Waldner
Senior Program Consultant
info∂hectorschool.kit.edu
+49 721 608 47880
Program Structure
The full certificate module consists of four interconnected short courses.
While each course can be attended individually, the complete module offers a coherent learning journey through AI-supported process and knowledge engineering, covering business process engineering, process mining, data & knowledge engineering, and big data management. It explores how AI-driven methodologies, data-centric technologies, and automation frameworks shape the development of intelligent, scalable, and efficient organizational solutions.
Business Process Engineering
Introduction to business process engineering, covering core concepts of process modeling, workflow automation, business process management (BPM), and techniques for designing, analyzing, and optimizing efficient and sustainable business processes.
| Date | May 31 - Jun 2, 2027 |
| Duration | 2,5 days |
Process Mining
Introduction to process mining, covering core concepts such as event logs, workflow patterns, data-driven process analysis, and techniques for discovering, monitoring, and improving real-world business processes.
| Date | Jun 2 - 4, 2027 |
| Duration | 2,5 days |
Data and Knowledge Engineering
Introduction to data and knowledge engineering, covering foundational principles of semantic web technologies, knowledge graphs, linked data, and modern methods for structuring, integrating, and analyzing complex data ecosystems.
| Date | Jun 7 - 9, 2027 |
| Duration | 3 days |
Big Data Management
Introduction to big data management, covering core principles of distributed systems, cloud computing, NoSQL databases, and large-scale data processing techniques for handling, analyzing, and deriving insights from massive datasets.
| Date | Jun 10 - 11, 2027 |
| Duration | 2 days |
How the courses fit together
Participants first build a foundation in business process engineering, process mining, data & knowledge engineering, and big data management, then explore their integration and application in AI-driven systems, and finally deepen their understanding of best practices for developing intelligent, scalable, and efficient organizational solutions.
Who should attend
This module is designed for professionals seeking a structured introduction to AI-supported process and knowledge engineering, with a focus on intelligent system design, data-driven decision-making, and best practices.
- Business process engineers and analysts interested in modeling, optimizing, and automating workflows using modern technologies like process mining and semantic web tools.
- Data engineers and AI specialists working with large-scale data ecosystems who want to leverage knowledge graphs, linked data, and big data management for actionable insights.
- IT architects and system designers involved in creating future-proof infrastructures that integrate AI, data, and process automation.
- Project managers and team leads overseeing digital transformation, AI adoption, or data-centric projects in organizations.
- Professionals in industry, consulting, or policy looking to understand the strategic impact of AI-powered process and knowledge engineering.
- Researchers and academics aiming to deepen their expertise in data science, semantic technologies, or AI-driven organizational solutions.
- Professionals who want a coherent learning path from foundational concepts to advanced applications in AI-supported engineering.
Ready to join the full module?
Book the complete module to benefit from a coherent learning journey across all three certificate courses.