Rafał Podraza
Software Testing

Exam Preparation: ISTQB CT‑GenAI

Your Step-by-Step Preparation for the CT-GenAI Certification

4.5 (206)45 lessons
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About the 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, Regulations & Ethics
Explore relevant standards (ISO/IEC 42001, ISO/IEC 23053), frameworks (NIST AI RMF), and the EU AI Act. Understand the ethical implications of using GenAI in testing and how to apply them in practice.

Test Management in AI-Enabled Organizations
See how tester and test manager roles evolve in AI-powered environments. Learn about hybrid teams of human testers and AI agents, and how to build GenAI strategies in test organizations.

Practical Exam Preparation
Test your knowledge with practice questions designed to simulate the real ISTQB CT-GenAI exam, ensuring you gain both confidence and exam-ready skills.


Who This Course Is For:


  • Aspiring CT-GenAI Candidates: Individuals preparing for the ISTQB CT-GenAI exam who want a structured, in-depth study path.

  • QA Professionals and Testers: Testers eager to expand their expertise into AI-powered testing and gain a competitive edge in a rapidly evolving field.

  • AI & Software Practitioners: Those who want to understand how AI impacts testing processes, risks, and quality in real-world projects.


By the end of this course, you will have a thorough understanding of both the theoretical foundations and the practical applications of Generative AI in software testing. You’ll be well-prepared not only to pass the ISTQB CT-GenAI certification exam but also to apply these insights effectively in real-world testing scenarios.

Let’s begin your journey toward becoming a Certified Tester in Generative AI!

What you will learn

Understand the role of Generative AI and LLMs in software testing
Learn how to design effective prompts for different testing tasks
Explore key AI capabilities such as test case creation, defect analysis, and test data generation
Recognize common risks like hallucinations, reasoning errors, and biases
Discover strategies to improve reliability and security when using GenAI
Gain awareness of data privacy, compliance, and ethical considerations
See how GenAI changes the roles of testers and test managers
Get practical guidance to prepare for the ISTQB CT-GenAI certification exam

Course program

1.Introduction2 lessons
2.Introduction to Generative AI for Software Testing6 lessons
3.Prompt Engineering for Effective Software Testing10 lessons
4.Managing Risks of Generative AI in Software Testing9 lessons
5.LLM-Powered Test Infrastructure for Software Testing5 lessons
6.Deploying and Integrating Generative AI in Test Organizations7 lessons
7.Mock Job Interview1 lessons
8.AWS Labs – Amazon Bedrock in Practice5 lessons
9.Sample Exam1 lessons

30-day satisfaction guarantee

If the course is not right for you, you get a full refund.

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