Overview
Learn how to harness GenAI, LLMs and AI testing tools to transform your testing. This course covers practical prompt engineering and how to apply AI for test analysis, test case design, data synthesis, automation support and results analysis. It also covers key topics such as risk mitigation (hallucinations, bias, data privacy/security) and using RAG (retrieval-augmented generation) and AI Agents.
Course Topics:
- Introduction to Generative AI for Software Testing
- AI spectrum (Symbolic AI, Classical ML, Deep Learning, GenAI),
- LLM basics (tokenization, embeddings, context windows), and multimodal/vision-language models
- Key LLM capabilities for test tasks (requirements analysis, test case and data generation, automation support, result analysis)
- Prompt Engineering for Effective Software Testing
- Six-part prompt structure (role, context, instruction, input data, constraints, output format)
- Prompt chaining, few-shot prompting and meta-prompting
- Evaluating results and refining outputs
- Managing Risks of Generative AI in Software Testing
- Handling hallucinations, reasoning errors, bias and non-determinism
- Data privacy & security risks
- Environmental impact
- AI regulations/standards and frameworks.
- LLM-Powered Test Infrastructure
- Architectural approaches such as retrieval-augmented generation (RAG) and AI Agents
- Fine-tuning models and LLMOps for deployment and operations.
- Deploying and Integrating GenAI in Test Organisations
- Roadmap adoption covering shadow-AI risks, GenAI strategy, selecting LLMs/SLMs for test tasks, and managing change when adopting GenAI.
The course combines theory with 24 hands-on exercises, starting with guided examples before moving to real-world tasks.
Who should take this certification?
The qualification is intended for anyone involved in using generative AI for software testing, including testers, test analysts, test automation engineers, test managers, user-acceptance testers and software developers. It is equally valuable to professionals who need a solid understanding of GenAI in testing—project managers, quality managers, software development managers, business analysts, IT directors and consultants.
What are the entry requirements?
- Mandatory prerequisite: ISTQB® Certified Tester – Foundation Level (CTFL)
- No programming experience required: suitable for both technical and non-technical roles
Exam and Certification:
- Format: 40 multiple-choice questions
- Duration: 60 minutes (+25% extra for non-native English speakers)
- Pass mark: 65%
- Validity: Lifetime – the certification does not expire
