Overview of the Certified Tester Testing with Generative AI Exam
The ISTQB CT-GenAI certification targets software testers and quality assurance engineers tasked with integrating Large Language Models into development lifecycles. Candidates master prompt engineering methodologies, including few-shot prompting and chain-of-thought reasoning, to optimize LLM outputs for test generation. The curriculum mandates proficiency in identifying AI-specific failure modes such as hallucinations, prompt injection, and data poisoning within transformer-based architectures. Practitioners evaluate test oracle limitations, ethical considerations, and bias mitigation strategies using frameworks like OpenAI GPT-4, Google Gemini, and open-source models via Hugging Face. Technical objectives focus on validating non-deterministic system behaviors, automated regression suite synthesis, and rigorous assessment of AI-generated code snippets.