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Reports
Edge Curriculum's reported essays, profiles, and field notes on AI learning paths and credentials.
The reports archive collects Edge Curriculum’s reported essays, profiles, and field notes. For longer reference pages on specific credentialing programs, see the credentials section.
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.
From Credentials to Companies: Founders Who Stacked Micro-Certs
A reported feature on the cohort of AI founders who built into their companies through stacked micro-credentials, not single degrees. The pattern is more durable than the credential market acknowledges.
Google's AI Micro-Credentials: A Practical Guide
A working guide to Google's AI micro-credentials in 2026: what the certificates are, where they sit, and how to use them as part of a credentialing stack.
Harvard's AI Micro-Credentials: What They Actually Cover
A reference-style read-through of the Harvard AI micro-credential program: what's in the curriculum, what isn't, and how the credential lands with hiring managers in 2026.
The 2026 AI Credential Map: What's Worth Your Time
A working map of the AI credentials that translate into actual hiring leverage in 2026 — and the ones that don't. Plus what we mean by 'translate.'