FinOps for AI Learning Path for Cloud Engineers and Data Teams
Artificial intelligence has moved from experimental projects to production workloads. Cloud engineers are now managing GPU clusters, model APIs, vector databases, AI pipelines, storage-heavy datasets, and inference workloads. Data teams are building machine learning models, generative AI applications, retrieval-augmented generation systems, and analytics pipelines that directly affect cloud...
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