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ISTQB Testing with Generative AI Sample exams 2025

Prepare for the ISTQB CT-GenAI exam 2025! Get sample questions, mock exams, and practice with generative AI testing.

4.5(10)
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Mike W.
Mike W.Test Automation Engineer

Course Content

ISTQB Testing with Generative AI Sample exams 2025 is an all-levels Udemy course taught by Mike W.. It is taught in English and includes a certificate of completion. Learners rate it 4.5 out of 5 from 10 reviews, with 41 students enrolled. It is a paid course, last updated September 2025.

Prepare for the CT-GenAI exam with this comprehensive course! Covering Generative AI version 1.0, this resource provides targeted practice questions organized by syllabus chapter, complete with detailed explanations to solidify your understanding. Assess your knowledge after each section and ensure you're ready to pass the exam. Each question is clearly marked with a section number for easy reference. Navigate back to the syllabus effortlessly if needed.

This training is structured into 6 sections, meticulously following the official syllabus, ensuring a logical and progressive learning experience. Questions are sorted according to syllabus topics, avoiding any unnecessary jumping between areas. Practice tests are strategically placed within each main section to reinforce learning.

Here's a breakdown of the course content:

  • Introduction to Generative AI for Software Testing

    • 1.1 Generative AI Foundations and Key Concepts
      • 1.1.1 AI Spectrum: Understand the differences between Symbolic AI, Classical Machine Learning, Deep Learning, and Generative AI.
      • 1.1.2 Basics of Generative AI and LLMs: Explore the fundamental concepts of Generative AI and Large Language Models (LLMs).
      • 1.1.3 Foundation, Instruction-Tuned and Reasoning LLMs: Learn about different types of LLMs, including foundation models, instruction-tuned models, and reasoning LLMs.
      • 1.1.4 Multimodal LLMs and Vision-Language Models: Discover the capabilities of 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: Identify the crucial LLM capabilities applicable to various software testing tasks.
      • 1.2.2 AI Chatbots and LLM-Powered Testing Applications for Software Testing: Explore the use of AI chatbots and LLM-powered applications to enhance software testing.
  • Prompt Engineering for Effective Software Testing

    • 2.1 Effective Prompt Development
      • 2.1.1 Structure of Prompts for Generative AI in Software Testing: Learn how to structure prompts for optimal results with Generative AI in software testing.
      • 2.1.2 Core Prompting Techniques for Software Testing: Master essential prompting techniques to effectively utilize Generative AI for software testing.
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