Edge Curriculum An education reference publication
AI credentials Programs Learning paths Vol. 2 · No. 14 Updated quarterly

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Editorial Team

Pieces marked Editorial Team are produced jointly by Edge Curriculum's editors and unsigned contributors. The byline is used for landscape pieces, glossary entries, and reference indexes that draw on more than one writer's work.

Role: Editorial

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  1. Stanford AI Index 2025/2026 — What Every Founder Should Know

    The Stanford HAI AI Index is the closest thing the field has to a referee report. We pulled out the dozen findings from the 2025 and 2026 editions that every founder and operator should be tracking — framed for builders, not for academics.

    Editorial Team 12 min read

  2. 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.

    Editorial Team 5 min read

  3. 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.

    Editorial Team 5 min read

  4. 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.

    Editorial Team 5 min read

  5. 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.

    Editorial Team 5 min read

  6. 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.

    Editorial Team 5 min read

  7. 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.

    Editorial Team 5 min read

  8. Edtech AI in 2026: Who's Building What

    A working landscape of the edtech AI category in 2026: who is building what, where the architectural patterns are converging, and which categories are likely to consolidate.

    Editorial Team 7 min read

  9. The Top 20 AI Micro-Credentials Ranked by Employer Recognition

    Edge Curriculum's working ranking of the AI micro-credentials with the highest employer recognition in 2026. Methodology, caveats, and the full list.

    Editorial Team 7 min read