AI Engineering from Scratch
The article introduces an open-source AI engineering curriculum designed to teach algorithms from the ground up. It consists of 416 lessons across 20 phases, covering topics from linear algebra to autonomous swarms. The curriculum emphasizes understanding the underlying math before using frameworks like PyTorch.
- ▪The curriculum is maintained by Rohit Ghumare and is available for free on GitHub.
- ▪It includes lessons in four programming languages: Python, TypeScript, Rust, and Julia.
- ▪Each lesson follows a structured approach of reading the problem, deriving math, writing code, and running tests.
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Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Aiengineeringfromscratch |
| Canonical URL | https://aiengineeringfromscratch.com |
| Publication time | Thu, 21 May 2026 09:14:13 +0000 |
| Retrieval time | 2026-05-21T09:21:10.393Z |
| Last seen | 2026-05-21T09:21:10.393Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | None |
| Cluster logic | Not yet clustered, or no peer story found in the clustering window. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
FIG_000 · curriculum v1.0 · 2026 open source · MIT AI Engineeringfrom Scratch 416 lessons. 20 phases. Every algorithm built from raw math before a single framework gets imported. Maintained by Rohit Ghumare and contributors. Run on your own machine. FIG_006 · the stack memory · reasoning · kb Three repos compose into the agent stack the curriculum teaches. text { font-weight: 400; } .hbp-fill { fill: var(--blueprint); } .hbp-tint { fill: var(--blueprint-tint); } .hbp-tint-strong { fill: var(--blueprint-tint-strong); } .hink { fill: var(--ink); } .hink-mute { fill: var(--ink-mute); } .hmono { font-family: var(--font-mono); font-weight: 400; } .hserif { font-family: var(--font-body); font-weight: 400; } .hflow { stroke: var(--blueprint); stroke-width: 1.4; } REPO · REASONING agentbrain ★…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Aiengineeringfromscratch.
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