Exam Preparation: ISTQB CT‑GenAI

About this course

This course contains the use of artificial intelligence.

Welcome to the "Exam Preparation: ISTQB CT-GenAI" Course!

This course is your complete guide to mastering the concepts, techniques, and responsibilities required to excel in testing with Generative AI, specifically designed to help you prepare for the ISTQB Certified Tester – Foundation Level Extension: Generative AI (CT-GenAI) exam.

Whether you’re an experienced tester aiming to adapt your skills to the age of AI, or a QA professional looking to gain cutting-edge knowledge of LLMs, prompt engineering, and AI-assisted testing practices, this course provides a comprehensive, syllabus-based approach that will empower you to pass the exam with confidence.

What You’ll Learn:

AI Fundamentals & Spectrum

Understand the differences between symbolic AI, classical machine learning, deep learning, and generative AI. Learn how LLMs and SLMs work, including tokenization, embeddings, and context windows.

Core Capabilities of LLMs in Testing

Explore how AI supports requirements analysis, test case creation, test data generation, defect analysis, automation, and reporting across the test lifecycle.

Prompt Engineering Techniques

Master structured prompts, prompt chaining, few-shot prompting, and meta prompting. Learn how to refine prompts for accuracy and reliability in testing tasks.

Risks & Mitigation Strategies

Identify and address AI challenges such as hallucinations, reasoning errors, biases, and non-deterministic behavior. Learn mitigation techniques like RAG, fine-tuning, and structured review processes.

Data Privacy & Security

Discover how to use GenAI responsibly, with a focus on privacy-preserving practices, data protection regulations like GDPR, and security considerations in AI-powered test tools.

Standards,

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