We provide live virtual course about ISTQB Certified Tester - Testing with Generative AI (CT-GenAI). This course prepares you for the ISTQB Certified Tester - Testing with Generative AI (CT-GenAI) certification.
Content:
You will learn how generative AI and large language models can support software testing activities, including prompt creation, test design support and risk awareness. The course focuses on practical application within software delivery environments to help improve consistency and efficiency in testing.
Practical generative AI skills for testers:
Designed for professionals with ISTQB Foundation Level knowledge, the course explores how large language models can support test design, automation and reporting activities. You will learn techniques for creating effective prompts while understanding challenges such as inaccurate outputs, bias and data-related risks.
Delivered over two days in a live virtual classroom environment, this course helps you develop knowledge that can support wider testing responsibilities and contribute to the adoption of AI-supported testing practices within delivery teams.
Learning objectives:
• Understand generative AI fundamentals
• Apply prompt engineering techniques
• Identify AI-related testing risks
• Use LLMs across testing lifecycle
• Support AI testing strategy development
• Evaluate AI capabilities and limitations
What you'll learn:
You will explore how generative AI can be applied across software testing, from requirements analysis to continuous improvement. This course introduces core concepts, prompting techniques and approaches for managing risks associated with generative AI in software testing, helping you use AI effectively while maintaining quality, security, and reliability in your testing processes. The course helps you develop technical skills that are increasingly being adopted within software testing environments.
Prompt engineering for testing:
You will learn how to design effective prompts for large language models to support testing activities. This includes generating test cases, analysing requirements and improving test coverage. These skills can help improve efficiency when creating test assets and analysing testing information.
Managing generative AI risks:
This section of the course focuses on identifying and addressing risks such as hallucinations, bias, privacy and security concerns. You’ll gain insight into mitigation strategies, helping you understand how to use generative AI within testing activities while managing quality, privacy and security considerations.
Applying AI across the lifecycle:
You’ll explore how generative AI supports different stages of the testing lifecycle, including design, automation, and reporting. This topic explores how generative AI can support existing testing workflows, including faster content generation and improved visibility across testing activities.
Integrating AI into organisations:
This area of the course covers how to deploy and integrate generative AI within test environments. You will understand how to contribute to organisational strategies, including considerations for implementation, governance and operational oversight within testing teams.
What's included:
• Accredited ISTQB Certified Tester - Testing with Generative AI (CT-GenAI) training
• ISTQB Certified Tester - Testing with Generative AI (CT-GenAI) exam
• All course materials
• Further optional extras, including Pass Protect, available at checkout
Target audience:
This course is for testers, QA engineers, test leads, automation engineers and professionals involved in adopting generative AI within testing environments.
Prerequisites:
• You must hold the ISTQB Certified Tester Foundation Level (CTFL) certification before taking the exam
Exam information:
The exam is 60 minutes with 40 multiple-choice questions, closed book, with a pass mark of 65%. Candidates taking the exam in a non-native language are typically granted an additional 15 minutes (75 minutes total).