Learning path
A practical route through the vendors, platforms, and models that matter most when deploying AI in an enterprise context. Starting from the major API providers and cloud infrastructure, through the open-weight ecosystem, and ending at the specific models your teams will actually integrate — each step builds the context you need for the next.
Aimed at practitioners evaluating or rolling out AI at scale: engineers, architects, and technical leads who need a clear map of the landscape before committing to a stack.
10 steps