Course · AL
AI Literacy
Quanthub
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Skills taught
Understanding the history and current state of AIUnderstanding AI systems' fundamental characteristics and mechanismsExplaining basic prompt engineering techniques for generative AIIdentifying generative AI use cases in professional workflowsUnderstanding business challenges and AI applicationsUnderstanding ethical and security considerations for AI usersLeveraging AI for concise, data-backed analysesLeveraging AI for evidence-based performance analysisLeveraging AI to create a comprehensive project planLeveraging generative AI as a learning partnerDifferentiating prompting from traditional computing interactionsSynthesizing prompt components for effective AI communicationEvaluating influence techniques on AI response qualityAnalyzing complex problems and synthesizing reasoning approachesComparing multimodal prompting strategies across media typesIntegrating AI into academic workflowsSelecting effective AI tools for workflowsUnderstanding why AI tools behave differently to anticipate their outputApplying a unified workflow to evaluate AI-generated codeUnderstanding AI code's hidden decisions and cognitive debt