TrainingDevelopment & DevOps / Programming & testingCT-GENAI
CT-GENAIISTQB · authorised trainingLeads to an exam
ISTQB Certified Tester – Testing with Generative AI (CT-GenAI)
ISTQB Certified Tester – Testing with Generative AI (CT-GenAI) extends the Foundation Level and gives testing and quality engineering professionals a structured, practical framework for understanding how, when and why to use large language models (LLMs) and other Generative AI techniques across the entire test process. The course covers Generative AI fundamentals and their practical use in requirements analysis, test design, automation, reporting and continuous improvement. Participants learn to apply prompt engineering in real testing contexts and to integrate GenAI responsibly, managing risks such as bias, security, data privacy and environmental impact.
- Duration
- 2 days
- Level
- Advanced
- Provider
- ISTQB
- Topic
- Development & DevOps / Programming & testing
Course outline
- Generative AI fundamentals and key concepts
- Differences between traditional AI, machine learning, deep learning and Generative AI
- Large language model (LLM) basics
- Model types: foundation, instruction-tuned and reasoning models
- Multimodal models and their use in testing
- Principles of using Generative AI in test processes
- LLM capabilities for test activities
- Chatbots and AI applications in software testing
- Structure and construction of effective prompts
- Prompting techniques for test activities
- System prompt vs. user prompt
- AI-assisted analysis of requirements and test scenarios
- Generating and implementing test cases with Generative AI
- AI-supported regression test automation
- Test monitoring and control using AI
- Choosing prompting techniques for different scenarios
- Evaluating AI-generated output
- Metrics for validating Generative AI output
- Iterative prompt refinement and optimization
- Hallucinations, reasoning errors and bias in AI models
- Identifying problems in LLM output
- Techniques to reduce hallucinations and improve output consistency
- Security and data privacy risks
- Vulnerabilities associated with using AI in test processes
- Data protection and security strategies
- Environmental impact of energy consumption and AI use
- AI regulations, standards and good practices
- Architectures for AI-based test infrastructure
- Components and key concepts of LLM-powered infrastructure
- Introduction to Retrieval-Augmented Generation (RAG)
- Role of AI agents in test automation
- Fine-tuning AI models used in testing
- Introduction to LLMOps
- Strategies for adopting Generative AI in software testing
- Risks of uncontrolled AI use (shadow AI)
- Key elements of an AI strategy for testing
- Selecting LLMs and SLMs for test activities
- Stages of implementing Generative AI in an organization
- Change management in AI adoption
- Skills needed for AI-assisted testing
- Building AI capabilities in test teams
- Evolution of test processes in AI-enabled organizations
Skills you will gain
- Understand the fundamental concepts, capabilities and limitations of Generative AI
- Use LLMs at different stages of the test process
- Apply effective prompt engineering techniques to software testing
- Evaluate and improve AI-generated output
- Identify and mitigate risks associated with using GenAI
- Integrate LLM-based solutions into test organizations
- Contribute to defining a GenAI adoption strategy and roadmap
Who should attend
- Software testers and UAT testers
- Test analysts and test automation engineers
- Test managers and quality managers
- Software developers involved in testing
- Project managers and software development managers
- Business analysts
- IT directors and consultants who want a solid understanding of using GenAI in testing
Prerequisites
- ISTQB Certified Tester Foundation Level (CTFL) – required to take the CT-GenAI exam
- Hands-on software testing experience recommended
- Basic understanding of quality assurance processes recommended
Certification
Exam
CT-GenAI - ISTQB Certified Tester Testing with Generative AI
This course prepares you for this exam.
Upcoming dates
These sessions run online with LLPA partners. Times are shown in Polish time, and the language of delivery is listed for each date.
| Date | Times (Polish time) | Language | Status | Price | Action |
|---|---|---|---|---|---|
| 08:00–16:00 | English | Scheduled | 4020 PLN | Request a quote |
4020 PLN
Ask about dates