New-hire analysts — the 10-day Foundry/AIP onboarding program.
Solve one continuous supply-chain disruption-response problem end to end — detect rising late shipments, investigate, triage, and recommend mitigation — across Foundry data, the Ontology, Workshop, Actions, and AIP.
Data engineers feeding the Ontology (coding-capable — PySpark + no-code).
Build the trusted data backbone behind the supply-chain disruption scenario: Data Connection sources, Pipeline Builder (no-code) and Code Repositories (PySpark), data expectations + Data Health, incremental computation + scheduling, branch-based DevOps, plus media sets and time series for ISR/sensor data — a fresh, joined, enriched, quality-guarded dataset the Ontology and analyst teams consume.
Analysts→builders, ontologists, and app developers (coding-capable — TypeScript + Python).
Turn the supply-chain Ontology into an operational app suite for the command-center operators: deep object/link/action modeling, a RiskEntity interface with private-vs-shared placement, reusable TypeScript-v2 and Python Functions, function-backed Actions that safely edit the Ontology, an advanced Workshop command center, and embedded Quiver analytics.
AI engineers and advanced analysts (coding-capable — AIP Logic + TypeScript Functions).
Ship a governed AIP decision-support capability for disruption response: an AIP Logic recommendation function (Use LLM + Ontology tools), a code-authored TypeScript LLM tool with structured output, model governance (BYOM register + scope), an AIP Evals suite, an AIP Chatbot Studio 'Disruption Copilot' with safe tools, and production governance (permissions, Markings, staged edits, audit) — culminating in an integrated, evaluated, governed copilot.
Mission-app / full-stack developers (coding-capable — TypeScript/React + OAuth2).
Build a custom mission command app on the supply-chain Ontology: scope an application in Developer Console, generate a type-safe OSDK package, build a React SPA, search/aggregate via the Ontology REST API v2 + OAuth2, apply Ontology Actions and execute published functions from the app, develop in the dev toolchain, host the app on Foundry, and package + ship it with Marketplace & Foundry DevOps.
Data scientists (coding-capable — Python modeling + Code Repositories/Workspaces).
Model and forecast supply-chain disruption risk: build a feature dataset, train a model, evaluate it under a Modeling Objective, analyze and visualize results (Contour + Quiver), score the Ontology objects via batch inference, stand up a live deployment for on-demand inference, bind model outputs to the Ontology via a published model Function, and operationalize the forecast end-to-end.
Org/enrollment admins and security/governance owners (no coding required).
Stand up and secure a multi-program Foundry enrollment for a defense mission, then plan its air-gapped delivery: orgs/enrollments and Control Panel roles, Users & Groups as the unit of access, Projects as the security boundary, mandatory Markings and Classification-Based Access Control (CBAC), Restricted Views, governance (lineage/retention/Sensitive Data Scanner), resource protection/branching, and an Apollo air-gapped release.
Everyone — a short, non-build literacy course (no coding, no prerequisites).
Understand how Foundry, AIP, Gotham, and Apollo fit together for a defense mission: where each product is used, how classification-preserving data (markings + CBAC) flows across them, and how the integrated platforms function as one enterprise operating system — Gotham at a high positioning level only, with Maven Smart System explicitly noted as a future, out-of-scope track.