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.
Working tools
Interactive tools for assembling your own credential plan, tracking progress, and comparing programs side-by-side.
Tracker
Course tracker
Mark programs as Want to take, In progress, or Completed. Browser-only — your tracking stays on your device.
Plans
Study plans
Pre-built credential sequences for common goals — AI engineer in 6 months, founder-track AI literacy, AI safety primer, and more.
Compare
Credential comparison
Side-by-side comparison of major AI credentialing programs across cost, duration, prerequisites, format, level, and recognition.
Credential references
Long-form reference pages on the AI credentialing programs we get the most questions about.
Reference
Google AI Micro-Credentials Overview
Edge Curriculum's standing reference page on Google's AI micro-credential offerings: program structure, delivery surfaces, and how the credentials function in hiring.
Reference
Harvard AI Micro-Credentials Overview
Edge Curriculum's standing reference page on Harvard's AI micro-credential offerings: program structure, pricing tiers, how to choose, and how the credentials function in hiring.
Latest reports
Reported essays, profiles, and field notes on AI learning paths.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Beats we cover
Topic landing pages. Each topic collects our reference pages, reported essays, and field notes for a single beat.
Topic
Credentials
Reference pages, rankings, and reporting on individual AI credentialing programs.
Topic
Career paths
How candidates assemble credentials, shipping evidence, and signal into hiring-ready stacks.
Topic
Self-taught founders
Profiles and essays on founders building outside the traditional credentialing track.
Topic
Edtech landscape
Annual landscape maps of the AI-education category.
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Other paths and programs we are tracking
A secondary index of programs and pathways we cover in shorter form.