What Makes an AI App Different from a Script
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Generative AI Application Development with Python
A small AI assistant app with structured input, structured output, one safe tool, mock mode, tests, and a release checklist.
API Keys, Environment Variables, Costs, and Safe Local Setup
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Messages, Instructions, and Response Handling
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Prompt Templates and Input Validation
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Structured Outputs with Schemas
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Tool and Function Calling with External Actions
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Conversation State and Memory Boundaries
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File Input, Summarisation, and Extraction Workflows
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Error Handling, Retries, Rate Limits, and Fallback Messages
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Simple App UI with FastAPI or Streamlit
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Testing AI App Behavior with Deterministic Fixtures
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Privacy, Logging, and Safe Deployment Boundaries
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Capstone: Useful AI Assistant with Evaluation Checklist
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First-release boundary
This is a text-first course shell. Leonardo/image creation, image QC, dependency-heavy runtime QA, external review, and learner pilot evidence remain separate later quality steps.