ai-engineering-from-scratch
MCP Serverrohitg00/ai-engineering-from-scratch
This repository provides a comprehensive curriculum for learning AI engineering from scratch through raw mathematical and manual implementations before utilizing high-level frameworks. It features lessons, quizzes, certifications, and reusable artifacts across multiple languages.
46.7k 8.1kMITUpdated 2026-08-10
85
GreatOverview
Designed as an exhaustive educational framework rather than a traditional application, the repository guides learners through building core components like backpropagation, tokenizers, attention mechanisms, and agent loops from the ground up. It enforces strict contribution rules, code quality standards, and comprehensive testing to ensure a coherent and rigorous learning experience.
Capabilities
- ▸Raw implementations of neural network components, tokenizers, and attention mechanisms
- ▸Automated lesson auditing and verification scripts
- ▸Interactive quiz generation and certification track management
- ▸Multi-language support including Python, TypeScript, Rust, and Julia
Best for
Studying foundational AI architectures and algorithms by building them from raw math, Preparing for AI and Claude certification tracks via structured lessons, diagnostics, and mock exams, Developing reusable artifacts, prompts, and agent loops for day-to-day developer workflows
Works with
Claude CodeCodexCursor
Evoa Score breakdown= Σ (score × weight)
85Task usefulness20%77 → +15.4
実タスクにどれだけ役立つか（機能の豊富さ・用途の明確さ）。 — AIによるcapabilities/use-cases解析
Code quality15%95 → +14.3
実装・指示の品質。 — AIによるSKILL.md/README解析
Maintenance15%100 → +15.0
リポジトリがどれだけ活発に保守されているか。 — GitHub 最終push日時の新しさ
Documentation12%40 → +4.8
ドキュメントの充実度・分かりやすさ。 — README/独自要約の情報量
Security15%100 → +15.0
危険・不審な挙動が無いか。 — AIによるセキュリティレビュー
Originality10%90 → +9.0
ありふれたラッパーではない独自性。 — AIによる独自性判定
Popularity8%100 → +8.0
コミュニティの採用度。 — GitHub Stars/Forks（対数スケール）
Compatibility5%75 → +3.8
対応AIエージェントの広さ。 — AIによる対応エージェント判定
Weighted total85.2 / 100
ライセンス不明/制限あり（Red）のSkillは総合スコアに0.85倍の補正を適用します。 ランキングはこのScoreのみで決まり、広告で変わりません。 算出方法の詳細 →
Security considerations
The repository is primarily educational with strict dependency constraints and automated validation scripts to check code safety and correctness.
Categories
Summary and analysis are original content generated by AI Skills Rank. The skill's source text is not reproduced here — view it on the linked repository.