Forward Deployed Engineer (FDE): Applied AI Delivery

Measure the Service and Rehearse Recovery

Define meaningful success metrics, inspect tail latency and create a failure drill that produces a usable operator handoff.

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The curriculum

  1. Turn a Request into a Delivery Contract — Free preview

    Define permitted actions, exclusions and evidence for a successful release.

  2. Build an API Contract That Can Fail Clearly — Free preview

    Make validation, error responses and retry expectations explicit before connecting a model or an external ticket system.

  3. Package the Runtime and Its Trust Boundaries — Sign-in access

    Keep configuration reproducible, secrets out of artifacts and cloud permissions narrower than the service's code surface.

  4. Retrieve Only Evidence the Requester May Read — Sign-in access

    Filter evidence before selection and cite only authorized material.

  5. Make Approval a Durable State, Not a Button — Free preview

    Bind a review decision to an exact draft revision and reject stale actions after edits or concurrent changes.

  6. Bridge Identity and Legacy Systems Without Borrowing Trust — Sign-in access

    Translate older system formats through a narrow adapter while keeping identity, access and status semantics explicit.

  7. Measure the Service and Rehearse Recovery — Sign-in access

    Define meaningful success metrics, inspect tail latency and create a failure drill that produces a usable operator handoff.

  8. Assemble Relay Room and Defend the Release — Sign-in access

    Integrate the course boundaries into a local portfolio project and present evidence without overstating production readiness.