What you'll learn:
- Apply GenAI safely across the testing lifecycle using ISTQB-aligned techniques and structured prompts.
- Generate, evaluate, and refine AI-created testware such as acceptance criteria, test cases, and reports.
- Identify and mitigate hallucinations, reasoning errors, bias, and privacy risks in GenAI test outputs.
- Design AI-enabled test architectures using RAG, agents, fine-tuning, and LLMOps principles.
Generative AI is reshaping the software testing world and testers who learn how to use it effectively will gain a massive career advantage. This course gives you a complete, structured, and practical guide to applying Generative AI and Large Language Models (LLMs) across the entire testing lifecycle, fully aligned with the ISTQB® Certified Tester – Foundation Level: GenAI (CT-GenAI) syllabus.
Whether you’re a manual tester, automation engineer, SDET, QA lead, or preparing for the official ISTQB exam, this course will help you confidently integrate GenAI into real testing tasks.
You’ll learn how to design structured prompts, apply prompt engineering techniques, generate high-quality acceptance criteria and test cases, analyze screenshots with multimodal prompts, and refine AI outputs using ISTQB-aligned evaluation metrics. You’ll also explore how to identify and mitigate common AI risks like hallucinations, reasoning errors, bias, privacy concerns, and security vulnerabilities.
Beyond the fundamentals, you’ll dive into modern test-AI architectures including Retrieval-Augmented Generation (RAG), vector databases, and LLM-powered test agents, plus fine-tuning concepts and LLMOps practices for deploying GenAI at scale.
Throughout the course, you’ll complete hands-on exercises and demos, including prompt chaining, few-shot prompting, test case generation, prioritization, and building a mini RAG-based test assistant.
By the end, you’ll not only master GenAI-enabled testing but be fully prepared to sit for the ISTQB CT-GenAI certification exam with confidence.
Enroll today and become the AI-empowered tester the industry needs next.
