ISTQB Testing with Generative AI Sample exams 2026

This course is preparation for CT-GenAI exam, it covers version 1.0
Course contains questions divided between all the syllabus chapters with explanation. 

You can verify your knowledge for every type of content provided to pass exam. Every question at the beginning has section number. You can easily go back to syllabus if you are not sure if answer is correct. All training is divided in 6 sections. All the questions are sorted according to syllabus. There is no jumping between sections. There are practice tests divided between main sections.
Course is sorted like syllabus sections:

1. Introduction to Generative AI for Software Testing

   • 1.1 Generative AI Foundations and Key Concepts

     • 1.1.1 AI Spectrum: Symbolic AI, Classical Machine Learning, Deep Learning, and Generative AI

     • 1.1.2 Basics of Generative AI and LLMs

     • 1.1.3 Foundation, Instruction-Tuned and Reasoning LLMs

     • 1.1.4 Multimodal LLMs and Vision-Language Models

   • 1.2 Leveraging Generative AI in Software Testing: Core Principles

     • 1.2.1 Key LLM Capabilities for Test Tasks

     • 1.2.2 AI Chatbots and LLM-Powered Testing Applications for Software Testing

2. Prompt Engineering for Effective Software Testing

   • 2.1 Effective Prompt Development

     • 2.1.1 Structure of Prompts for Generative AI in Software Testing

     • 2.1.2 Core Prompting Techniques for Software Testing

     • and other