Learning
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Advanced Level Test Automation Engineering (CTAL-TAE)
Design, implement, verify, and continuously improve sustainable test automation solutions. This course follows the CTAL-TAE v2.0 syllabus and trains you to reason through architecture, tool selection, CI/CD integration, reporting, and long-term maintainability using exam-style scenarios.
AI Testing (CT-AI)
Learn how AI-based systems differ from conventional software, how ML works, and how to test AI-specific quality risks using practical methods and techniques aligned with the ISTQB CT-AI syllabus and sample exam rationales.
Testing with Generative AI (CT-GenAI)
Learn how to use Generative AI to support software test tasks safely and effectively. You will practice prompt engineering, manage GenAI risks (privacy, security, environmental impact), and understand LLM-powered test infrastructure (RAG, agents, fine-tuning, LLMOps) and organizational adoption (shadow AI, strategy, skills, governance) aligned with the CT-GenAI syllabus and sample exam rationales.