Fraunhofer Institute for Experimental Software Engineering IESE
Seminar: AI-supported software engineering
Harness the potential of generative AI for your software engineering!
Software development is becoming increasingly complex, while a shortage of skilled workers and rising demands for efficiency and quality are challenging the industry. Generative artificial intelligence (AI) offers enormous opportunities here. Our training course provides practical guidance on how you can use AI-supported tools profitably – from requirements analysis, architecture, and development to test automation and documentation.
Information and details about the seminar
It is becoming increasingly complex to capture, analyze, document, and manage requirements for a software system or product under development. Our training course provides you with the necessary knowledge and skills to efficiently use AI technologies and large language models (LLMs) in your work. In the training course, you will learn to identify meaningful areas of application for AI in software engineering, select suitable AI methods, and ultimately use them productively at a high level of quality. The training course will enable you to use AI models directly in your everyday software engineering work to support a wide range of tasks without the need for further training.
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Tabbed contents
Target group
This training course is aimed at software engineers at the operational level. However, the widespread use of AI in software engineering also requires a corresponding awareness at the strategic level.
Target group
- Software developers and architects (backend, frontend, DevOps)
- Requirements engineers
- Business analysts
- Quality assurance (QA) and test engineers
- Security and compliance experts
- Project managers and project leaders
- IT professionals
- Customer support and service
Some practical experience with software development is helpful.
Learning goals
After the seminar, you will be able to...
- Use automated requirements gathering and analysis with LLMs.
- Develop software architectures and detailed designs using AI.
- Optimize code generation and error analysis with AI.
- Implement AI-based testing procedures.
- Effectively integrate AI tools into your software development process.
- Evaluate ethical and regulatory aspects of AI in engineering.
The seminar offers you...
- Increased productivity: Use AI for more efficient development processes and to automate repetitive tasks.
- Improved code quality: Automated error detection and intelligent reviews improve your software in the long term.
- Faster time-to-market: Accelerate your software development with smart automation.
- Secure competitive advantages: Stay ahead technologically with innovative AI-supported engineering methods.
Methodology
The seminar was designed by experts at Fraunhofer IESE and has already been successfully held several times.
Lectures
Dr. Martin Becker heads the Embedded Systems Engineering department at Fraunhofer IESE. His team develops solutions for AI-supported modeling in systems and software engineering.
Dr. Adam Trendowicz is a senior engineer in the Data Engineering department at the Fraunhofer Institute for Experimental Software Engineering IESE in Kaiserslautern. After completing his doctorate on software project effort and risk assessment models at the Technical University of Kaiserslautern, he has been working in the field of data science and data-driven business innovation. Dr. Trendowicz's current focus is on data quality and preparation in the context of machine learning, as well as on the lean deployment of data-driven innovations based on solutions from the fields of machine learning and artificial intelligence. Dr. Trendowicz is co-founder of the "Data Scientist" continuing education and certification program offered by the Fraunhofer Alliance for Big Data and Artificial Intelligence. He has also given several tutorials on business-IT alignment, data preparation and analysis, software quality measurement, and cost estimation. Finally, he is co-author of several books and numerous publications in international journals and conferences.
Julien Siebert works as a senior AI expert in the Data Science department at Fraunhofer IESE. He studied artificial intelligence and engineering and holds a doctorate in computer science. His professional interests include data science processes, artificial intelligence, and complex systems.
Registration
Click on your preferred date to book the seminar! The seminar will be held in German.
May 6, 2026–May 7, 2026 [DE] Register now
October 28, 2026–October 29, 2026 [DE] Register now
The participation fees can be found under Information and details about the seminar.