![\"CT\u2011GenAI\"](\"https:\/\/www.gtb.de\/wp-content\/uploads\/2025\/10\/ct-genai-1.png\" "\\"CT\u2011GenAI\\"")
<\/span><\/div>Learn to apply Generative AI responsibly and effectively across the testing lifecycle: prompt engineering, risk management, LLM\u2011powered infrastructure, and organizational adoption.<\/p>\n<\/div>
Why CT\u2011GenAI?<\/h3><\/div>Master GenAI for testing: generate test assets with AI, mitigate risks like hallucinations and bias, and integrate LLM solutions into your test stack.<\/p>\n<\/div>
Introduction to GenAI<\/strong>
\nFoundations of LLMs, tokenization, context windows, multimodality.<\/p>\n<\/div><\/div><\/div>Prompt Engineering<\/b>
\nStructured prompts, chaining, few\u2011shot, meta\u2011prompting for test tasks.<\/p>\n<\/div><\/div><\/div>Risk & Governance<\/b>
\nHallucinations, bias, privacy\/security, non\u2011determinism, regulations.<\/p>\n<\/div><\/div><\/div>LLM\u2011Powered Infrastructure<\/b>
\nRAG, fine\u2011tuning, LLMOps, and AI agents for testing.<\/p>\n<\/div><\/div><\/div>Responsible Integration<\/b>
\nAdoption roadmap, skills & change management for test orgs.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Who should attend?<\/h3><\/div>Ideal for testers, test automation engineers, developers with testing duties, test managers, and QA\/IT leaders looking to harness GenAI in real projects.<\/p>\n
\n- Prerequisite: ISTQB\u00ae Foundation Level (CTFL)<\/li>\n
- No programming experience required<\/li>\n
- Applicable across industries and tool stacks<\/li>\n<\/ul>\n<\/div><\/div><\/div>
What you will learn<\/h3><\/div>1. GenAI for Testing<\/strong>
\nAI spectrum, LLM basics, multimodal LLMs, interaction models.<\/p>\n<\/div><\/div><\/div>2. Prompt Engineering<\/strong>
\nStructure components (role, context, instruction, data, constraints, output) and core techniques (chaining, few\u2011shot, meta).<\/p>\n<\/div><\/div><\/div>3. Risk Management<\/strong>
\nHallucinations, bias, privacy\/security, non\u2011determinism, energy & environmental impact, standards & regulations.<\/p>\n<\/div><\/div><\/div>4. LLM\u2011Powered Infrastructure<\/strong>
\nRAG, fine\u2011tuning, LLMOps, agents; architecture and operations.<\/p>\n<\/div><\/div><\/div>5. Deploy & Integrate<\/strong>
\nAdoption roadmap, skills, team enablement, evolving processes.<\/p>\n<\/div><\/div><\/div><\/div><\/div><\/div>Exam at a glance<\/h3><\/div>Format:<\/strong> 40 multiple\u2011choice questions
\nDuration:<\/strong> 60 minutes (+25% extra time for non\u2011native language)
\nPass mark:<\/strong> 65%
\nDelivery:<\/strong> Online remote proctoring or test centers (availability varies by board\/provider)
\nValidity:<\/strong> Lifetime<\/p>\n<\/div><\/div><\/div>\n\n
Master GenAI for testing: generate test assets with AI, mitigate risks like hallucinations and bias, and integrate LLM solutions into your test stack.<\/p>\n<\/div>
Introduction to GenAI<\/strong> Prompt Engineering<\/b> Risk & Governance<\/b> LLM\u2011Powered Infrastructure<\/b> Responsible Integration<\/b> Ideal for testers, test automation engineers, developers with testing duties, test managers, and QA\/IT leaders looking to harness GenAI in real projects.<\/p>\n 1. GenAI for Testing<\/strong> 2. Prompt Engineering<\/strong> 3. Risk Management<\/strong> 4. LLM\u2011Powered Infrastructure<\/strong> 5. Deploy & Integrate<\/strong> Format:<\/strong> 40 multiple\u2011choice questions
\nFoundations of LLMs, tokenization, context windows, multimodality.<\/p>\n<\/div><\/div><\/div>
\nStructured prompts, chaining, few\u2011shot, meta\u2011prompting for test tasks.<\/p>\n<\/div><\/div><\/div>
\nHallucinations, bias, privacy\/security, non\u2011determinism, regulations.<\/p>\n<\/div><\/div><\/div>
\nRAG, fine\u2011tuning, LLMOps, and AI agents for testing.<\/p>\n<\/div><\/div><\/div>
\nAdoption roadmap, skills & change management for test orgs.<\/p>\n<\/div><\/div><\/div><\/div>Who should attend?<\/h3><\/div>
\n
What you will learn<\/h3><\/div>
\nAI spectrum, LLM basics, multimodal LLMs, interaction models.<\/p>\n<\/div><\/div><\/div>
\nStructure components (role, context, instruction, data, constraints, output) and core techniques (chaining, few\u2011shot, meta).<\/p>\n<\/div><\/div><\/div>
\nHallucinations, bias, privacy\/security, non\u2011determinism, energy & environmental impact, standards & regulations.<\/p>\n<\/div><\/div><\/div>
\nRAG, fine\u2011tuning, LLMOps, agents; architecture and operations.<\/p>\n<\/div><\/div><\/div>
\nAdoption roadmap, skills, team enablement, evolving processes.<\/p>\n<\/div><\/div><\/div><\/div>Exam at a glance<\/h3><\/div>
\nDuration:<\/strong> 60 minutes (+25% extra time for non\u2011native language)
\nPass mark:<\/strong> 65%
\nDelivery:<\/strong> Online remote proctoring or test centers (availability varies by board\/provider)
\nValidity:<\/strong> Lifetime<\/p>\n<\/div>