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Explores how to deploy AI-powered applications on the web, covering model selection, containerization, APIs, and inference optimization. Walks through MLOps practices, CI/CD pipelines, scaling with serverless and GPUs, monitoring latency and cost, securing data, and aligning UX with ethical considerations. Includes examples and tips for staging, testing, and rollback.