Topic

study plan

Edge Curriculum's reference pages, reports, and field notes filed under study plan.

Coverage in this beat collects the working reference pages, reported essays, and contributor interviews we have published on this topic. Newer pieces appear first; reference pages are dated and updated as the underlying programs change.

  1. Polymath fundamentals

    A 9-month cross-disciplinary sequence for builders pursuing the polymath curriculum we cover in The New Polymath Curriculum — AI literacy, systems thinking, design, and communication.

    5 min read

  2. Founder-track AI literacy

    A 4-month sequence for founders and operators who need to be conversant in AI without being the model builder. Heavy on strategic and operational layers; lighter on the engineering-track depth.

    5 min read

  3. Career-transition stack

    An 8-month sequence for non-engineering professionals moving into AI-adjacent operator and consulting roles. Heavy on institutional legibility, foundational vendor credentialing, and a portfolio piece.

    5 min read

  4. AI safety primer

    A 6-month sequence for candidates interested in AI safety, alignment, or governance work. Covers technical safety, governance-track preparation, and the working organizations doing the relevant research.

    5 min read

  5. AI researcher preparation

    A 12-month sequence for candidates building toward a research-oriented role at a frontier lab or applied research team. Heavy on mathematics, foundational ML, and publishable work; light on vendor credentials.

    5 min read

  6. AI engineer in 6 months

    A 6-month sequence for engineers transitioning from a non-AI engineering role into applied AI. Heavier on hands-on, lighter on institutional legibility — the working assumption is that the candidate already has engineering credibility.

    5 min read