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FluxForce Institute for
Responsible Engineering
Igniting core…
000%
Four weeks on running capable AI inside a boundary you control: selecting and serving open-weight models, quantisation, routing between local and frontier models, and the residency requirements that drive the architecture.
Sovereignty claims are checkable or they are marketing. The course insists on the checkable version: can this workload run at acceptable quality inside your boundary, and can you prove where the data went? You will measure the capability gap rather than assume it, in both directions.
For part of it. We provide lab access if you do not have hardware.
Sometimes. Break-even depends on volume, and teams get this wrong in both directions. You will calculate it properly.
We cover what the requirements mean architecturally. Legal interpretation belongs with your counsel.
No payment at this stage. We confirm dates, fees and fit before you commit to anything.