Prompt Engineering for Software-Testing  24. - 25.06.2026 - Virtual Classroom (DACH)

Transform your software testing practices with our hands-on GenAI Prompt Engineering training! Master tools like ChatGPT, Gemini, and Claude to generate precise test cases, realistic test data, and efficient automation scripts. Explore edge cases like never before. Level up your AI-powered testing!

• Getting started with LLM-based testing: You will learn the basics of developing prompts for software testing to adapt instructions for creating test cases, test data and automation scripts.

• Hands-on prompt engineering: Through interactive sessions, real-world case studies, and guided exercises in practical use cases, you will learn how to efficiently generate and optimise test cases, test data, and automation scripts.

• Advanced prompt techniques and patterns: You will create high-quality prompts to increase test coverage and optimise workflows.

• Ethical testing: You will explore bias and ethical considerations for AI-driven solutions.

• Optimise software testing: You will learn how to generate better test cases and find edge cases with generative AI.

• Innovative strength and expertise in using AI for software testing.

• Higher productivity when creating high-quality automated test cases, other test artifacts and test solutions.

• Extended test coverage with the same resources.

• Integration and productive use of GenAI to improve test processes, enhancing your potential for increased test coverage and optimised workflows.

• Increased trust and improved compliance through integrating and strengthening ethical testing standards, as well as critically examining bias in AI-driven solutions.

• Sustainably improved error detection and quality assurance by using generative AI, for example, to help identify previously difficult-to-identify edge cases.

• What is prompt engineering and why is it important in modern software testing?
• Which components are essential for creating effective AI instructions? (For example precision, wording, scope, and understanding roles.)
• How can you use intelligent inputs to efficiently generate test cases and test data?
• How can you adapt instructions flexibly to different test requirements?
• How can you identify and avoid ethical risks and biases in AI-supported testing?
• Practical examples: Successful prompt engineering in real-world test projects.
• How can you transfer these methods to different testing challenges, such as increasing test coverage?
• Recommendations for effectively embedding AI-supported inputs into existing test workflows.

• A basic understanding of test design techniques and activities, e.g. from the ISTQB^® Certified Tester Foundation Level course, and practical experience of test execution is an advantage but not essential.
• Programming skills are not required!

Technical requirements

• An active premium account for ChatGPT 4o or Gemini.
• At least one more account for another popular GenAI tool (Gemini, Claude or Poe).
• Laptop/desktop computer.
• Stable internet connection.
• In the case of online training, VC infrastructure according to the terms and conditions.