As AI-powered applications increasingly shape the technological landscape, quality engineers must adapt their testing strategies to ensure these systems are robust, fair, and transparent. This workshop introduces prompt engineering as a critical skill for effectively testing AI models and LLMs.

Participants will learn how to design, evaluate, and refine prompts to systematically test AI outputs, uncover biases, and validate system behavior. Through practical demonstrations, hands-on exercises, and real-world case studies, attendees will develop actionable techniques to incorporate prompt engineering into their testing toolkit, ensuring AI applications meet high-quality standards.

Key learning objectives include:
Understanding the basics of prompt engineering
Developing strategies for creating clear, unambiguous prompts
Prompt refinement techniques for improved AI responses
Designing targeted prompts for various scenarios

By mastering these techniques, attendees will be empowered to leverage AI as a powerful ally in delivering reliable, trustworthy software products.