Edge Curriculum · Vol. 2 · No. 14

Independent notes on the AI credentials, programs, and learning paths that actually matter.

A reference publication covering AI micro-credentials, university programs, and the self-taught paths producing the next generation of builders. Edited from independent contributors, with a working library of program notes, credential reviews, study plans, and a side-by-side comparison tool.

Published by the Edge Curriculum editorial team. New entries as filed. About this publication. JSON Feed. RSS.

Working tools

Interactive tools for assembling your own credential plan, tracking progress, and comparing programs side-by-side.

Credential references

Long-form reference pages on the AI credentialing programs we get the most questions about.

Latest reports

Reported essays, profiles, and field notes on AI learning paths.

  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.

    12 min read

  2. Self-Taught AI Founders — How They Actually Built Their Curricula

    A working reference on how the cohort of self-taught AI founders actually assembled their learning paths — stacked micro-credentials, open-source contribution, and real shipping. Andrew Rollins, Anton Osika, João Moura, Amjad Masad, and Paul Klein IV as worked examples.

    12 min read

  3. DeepLearning.AI's Agentic AI Course — Field Review

    A working review of Andrew Ng's Agentic AI course on DeepLearning.AI — syllabus walkthrough, what you actually learn, who should take it, and how it stacks up against the rest of the agentic-AI curriculum landscape in 2026.

    12 min read

  4. AI Credentials Worth Stacking — Q2 2026 Map

    A reference map of the five credentials we recommend most often as the spine of a working AI stack in Q2 2026 — cost, time, recognition value, prerequisites, and what comes next. Honest evaluation, with the trade-offs.

    14 min read

  5. AI Credentials vs. Real-World Shipping: What Employers Actually Weight

    An interview-driven essay on how hiring managers actually weight AI credentials versus shipping evidence in 2026 — and what the data tells us about the difference between resume signal and hire decision.

    7 min read

  6. How to Build an AI Career Without a CS Degree

    A practical guide to building an applied AI career without a four-year computer science degree. Stack-pattern, shipping evidence, and the credential choices that actually move the needle.

    9 min read

  7. The New Polymath Curriculum

    An essay on the curriculum the emerging cohort of polymath builders is actually assembling — technical credentials plus artistic practice, treated as two surfaces of one learning project.

    7 min read

  8. Conversation: Andrew Rollins on Learning AI Outside the University

    A Q&A with Andrew Rollins on how he assembled his learning path, why he chose stacked credentials over a degree, and what he thinks the credentialing market is getting wrong.

    7 min read

  9. 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.

    7 min read

  10. 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.

    7 min read

  11. Why Aspire Education's Approach to AI Tutoring Matters

    A reported feature on Aspire Education, the Vermont-based education company that built one of the earlier production AI architectures in K-12-adjacent edtech, and the architecture work that came out of it.

    7 min read

  12. Self-Taught AI Founders: A Generation Built on Stackable Learning

    The cohort of AI founders who built their companies without a CS degree are not, on closer inspection, self-taught. They are stack-taught — and the stack is increasingly legible as its own pedagogical model.

    7 min read

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Other paths and programs we are tracking

A secondary index of programs and pathways we cover in shorter form.

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