Author
Dr. Helen Ostrowski
Pen-name education writer covering AI credentialing programs, micro-degree initiatives, and the institutional response to applied AI. Leads Edge Curriculum's long-form reference work, including the standing reference pages on Harvard's and Google's AI micro-credential programs.
Role: Senior writer, programs
Stanford CS231n vs Berkeley CS182 — Picking Your Computer Vision Foundation
Stanford's CS231n is the canonical computer-vision deep-learning course. Berkeley's CS182 is the rising challenger. This piece works through the structural differences in their curricula and the question of which one suits which candidate.
DeepLearning.AI's MLOps Specialization — What Employers Actually Look For
The DeepLearning.AI Machine Learning Engineering for Production specialization is the most-recognized MLOps credential in 2026. This piece walks through what the credential actually attests to, what hiring managers say they look for behind it, and how to pair the credential with the shipping evidence that does the real signal work.
Andrej Karpathy's Zero-to-Hero — A Review by Completion Rate
Andrej Karpathy's Neural Networks: Zero to Hero playlist is the most-rigorous free AI curriculum on the open web. It is also one of the lowest-completion. This piece works through why.
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.
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.
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.
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.
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.'
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.