Prompts for Software-Testing - Fundamentals

Revolutionize your software testing with our intensive practical GenAI prompt engineering workshop. Dive into the world of Generative AI and learn to craft powerful prompts for LLM-based for software testing using GenAI tools like ChatGPT, Gemini, Claude and Co. This workshop is designed to equip you with the practical knowledge and hands-on expertise needed to generate precise and effective AI-based test artifacts and solutions.

This workshop empowers you to confidently design, refine, and apply prompts that enhance software testing quality and efficiency. Master the prompt engineering fundamentals to tailor instructions for generating test cases, test data, test coverage matrix, quality review notes, analysis outcomes and defect reporting.

• Explore prompt engineering principles through demos and exercises.
• Address bias and ethical considerations for trustworthy AI-driven testing.
• Gain experience with ChatGPT, Gemini, and Claude (at least one of them) in real-world testing environments.

• Hands-On Prompt Engineering: Design and optimize prompts for effective test case generation and other related test artifacts.
• Practical Prompting Skills used for Testing: Learn through interactive sessions, real-world case studies, and guided exercises.
• Advance with special Prompt Techniques and Patterns used for Testing: Build high-quality prompts to expand test coverage and streamline testing artifacts within the SDLC workflows.
• Ethics & Bias Considerations: Address possible LLMs and GenAI bias and ethical considerations when using prompts for testing.
• Real-World GenAI Application: Gain practical experience with GenAI applications such as ChatGPT, Gemini, and Claude and how they can be useful for testing.
• Optimized Software Testing: Learn to generate better test cases and find edge cases for better test coverage, using Generative AI.

• What is prompt engineering and its importance for testing?
• What are the core components of effective prompts (precision, tone, scope, persona)?
• How to use prompt techniques for test case generation and test data output?
• How to tailor prompts for diverse testing needs?
• How to identify and mitigate ethical risks and biases when using AI for software testing?
• Examples of successful prompts for testing artifacts in real-world testing
• How to apply prompt engineering to various testing challenges, including coverage expansion?
• Best practices for integrating AI-driven prompts into your testing process

• 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 ChatGPT 4o account.
• At least additional one more 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.