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AI engineering

What does AI engineering cover in AI governance?

2 competencies are filed under it: Applied AI engineering, Agentic systems engineering. Each has its own page saying what it means in practice.

The competencies filed under it

  • Applied AI engineering

    Builds production systems on foundation models: retrieval augmented generation, structured tool use, evaluation harnesses, guardrails, and cost and latency budgets.

    Technical Evaluation

  • Agentic systems engineering

    Designs multi step agent systems: orchestration graphs, tool contracts, memory, interruptibility, and the evaluation of agent behavior before it is allowed to act.

    Technical Evaluation

Roles that ask for it

Where it is taught and graded

18 graded topics, each passed by explaining it back. The first module of every program is free with a free account.

Questions

What does AI engineering cover in AI governance?
2 competencies are filed under it: Applied AI engineering, Agentic systems engineering. Each has its own page saying what it means in practice.
Which roles ask for AI engineering?
3 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
Where is AI engineering taught and graded?
18 graded topics teach it across 5 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.