A self-paced flagship bootcamp on the data and compute infrastructure that machine learning depends on — the layer beneath the models. It covers six stages: what the infrastructure has to provide, data foundations and lineage, feature engineering infrastructure, training infrastructure and accelerators, serving and inference, and monitoring, governance and cost.

The premise is that most failed machine learning programmes fail on infrastructure rather than modelling: data nobody can find, features that differ between training and serving, models nobody can reproduce, and inference costs nobody predicted. Tech Skills Library is independent and issues no certification or credential.