Course overview
Foundations of AI costs: tokens, inference, GPU, storage and vector databases. Explains how these drivers create spend and how to analyze and attribute costs within a product or service context.
Breaks down major AI cost categories (tokens, inference, GPU, storage, vector DB) and how they interact.
Presents analytical methods to identify and prioritize cost-reduction levers.
Explains how to translate findings into reports usable by product and ops teams.
4lessons
4lessons
20activities
0exercises
3videos
Skills and topics covered
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