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Generative AI

What does generative AI cover in AI governance?

4 competencies are filed under it: Working AI fluency, Prompting and workflow design with AI, Applied AI engineering, Embodied AI and robotics systems. Each has its own page saying what it means in practice.

The competencies filed under it

  • Working AI fluency

    Uses generative AI tools daily, knows what a model can and cannot do, and can say where an output should not be trusted.

    AI Literacy

  • Prompting and workflow design with AI

    Briefs a model like a good manager: context, constraints, examples, verification, and knows when to stop delegating.

    AI Literacy

  • 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

  • Embodied AI and robotics systems

    Understands AI that acts in the physical world: perception stacks, vision language action models, sim to real transfer, sensor fusion, and where each of them fails.

    Technical Evaluation

Roles that ask for it

Where it is taught and graded

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

Questions

What does generative AI cover in AI governance?
4 competencies are filed under it: Working AI fluency, Prompting and workflow design with AI, Applied AI engineering, Embodied AI and robotics systems. Each has its own page saying what it means in practice.
Which roles ask for generative AI?
16 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 generative AI taught and graded?
62 graded topics teach it across 7 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.