The ISTQB® Certified Tester – AI Testing (CT-AI) training provides deep insight into both testing AI-based systems and applying AI for test support. You will learn the quality requirements, risks, methods and techniques unique to AI, and how to assess AI systems effectively, transparently and reliably. Module1: Introduction to AIDefinition of AI and AI EffectNarrow, General and Super AIAI-Based and Conventional SystemsAI TechnologiesAI Development FrameworksHardware for AI-Based SystemsAI as a Service (AIaaS)Contracts for AI as a ServiceAIaaS ExamplesPre-Trained ModelsIntroduction to Pre-Trained ModelsTransfer LearningRisks of using Pre-Trained Models and Transfer LearningStandards, Regulations and AIModule 2: Quality Characteristics for AI-Based SystemsFlexibility and AdaptabilityAutonomyEvolutionBiasEthicsSide Effects and Reward HackingTransparency, Interpretability and ExplainabilitySafety and AIModule 3: Machine Learning (ML) – OverviewForms of MLSupervised LearningUnsupervised LearningReinforcement LearningML WorkflowSelecting a Form of MLFactors Involved in ML Algorithm SelectionOverfitting and
