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AI Product Management Course
Lesson 1: Attention BudgetLesson 2: Persona by FunctionLesson 3: Curate Context & PRDLesson 4: Diverse Few-ShotLesson 5: Precision vs GenerativeLesson 6: Reasoning & Output FormatLesson 7: Rationale-Driven ConstraintsLesson 8: Hypothesis & ChecklistQuiz
Lesson 9: AI Opportunity MappingLesson 10: Inverting FeasibilityLesson 11: Data ReadinessLesson 12: Capability-Task FitLesson 13: Build vs Buy vs Fine-tuneLesson 14: Cost & Effort EstimationLesson 15: Risk AssessmentLesson 16: Scoping AI MVPLesson 17: Scoping POC vs MVPLesson 18: Writing Feasibility BriefLesson 19: Prioritizing AI BetsQuiz
Lesson 20: RAG PipelineLesson 21: Chunking StrategyLesson 22: Retrieval QualityLesson 23: Grounding ContractLesson 24: Data FreshnessLesson 25: Failure ModesLesson 26: Requirement BriefQuiz
Lesson 27: Non-Determinism & UILesson 28: Open Input & DiscoverabilityLesson 29: Confidence SignalingLesson 30: Latency & StreamingLesson 31: Error StatesLesson 32: HITL SpectrumLesson 33: SteerabilityLesson 34: ExplainabilityLesson 35: Onboarding At InputLesson 36: Rapid PrototypingLesson 37: 8-Step SynthesisQuiz
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