Seminarinhalt
The training focuses on the practical use of Generative AI to support testing activities such as test design, test analysis, test data generation, documentation, and exploratory testing. It also addresses the risks, limitations, and ethical considerations associated with using GenAI in professional testing environments.
This certification aims to build and validate a solid foundation in applying Generative AI within testing, enabling testers to improve productivity and quality while maintaining human responsibility and professional judgment.
Programm
- Understanding Generative AI concepts, capabilities, and limitations relevant to software testing
- Exploring opportunities and risks of using Generative AI in testing activities
- Applying Generative AI to support test analysis, test design, test implementation, and test management
- Prompt engineering fundamentals, including structured prompt design for testing use cases
- Quality, reliability, bias, ethics, and security considerations when using Generative AI
- Human responsibility, transparency, and decision-making when working with AI-assisted testing
- Best practices for integrating Generative AI into existing testing processes and workflows
Zielgruppen
- Testers
- Test analysts
- Test engineers
- QA engineers and QA specialists
- Test consultants
- Test managers and QA leads
- User acceptance testers
- Software developers interested in AI-assisted testing
Vorkenntnisse
There are no additional formal prerequisites for attending the training itself.
However, basic knowledge of software testing concepts and practical testing experience are strongly recommended to fully benefit from the course.
Trainings zur Vorbereitung
Wichtige Information
Dieses Training wird in Zusammenarbeit mit dem akkreditierten Training Provider Expleo Group Austria GmbH veranstaltet.

