The ISTQB CT-GenAI training provides you with the knowledge and techniques to use GenAI tools and Large Language Models (LLMs) responsibly in software testing. In two days, you will learn how to enhance test processes with AI, manage risks, and integrate this technology into test infrastructures, while respecting ethics, privacy, and quality. 1. Introduction to Generative AI for Software TestingCore concepts of GenAI, LLMs, tokenization, embeddings, multimodal modelsApplications of AI in the testing lifecycle2. Prompt Engineering for Effective Software TestingStructured prompts, chaining, few-shot and meta promptingApplying prompts to test design and automation3. Managing Risks of Generative AI in Software TestingAddressing hallucinations, bias, non-determinism, and security/privacy issuesEthical and regulatory considerationsAssessing environmental impact of AI4. LLM-Powered Test InfrastructureRetrieval-Augmented Generation (RAG), fine-tuning, and LLMOpsUsing AI agents for automated test processes5. Deploying and Integrating GenAI in Test OrganisationsCreating an organizational roadmap for GenAI adoptionBuilding AI testing capabilities in
