AI Engineering
Curated by @tripp
Updated Jun 7, 2026
This is a comprehensive course regarding AI Engineering with current references, best practices, and hands-on activities.
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Quality
Scored on six categories — citations, structure, content richness, retrieval-readiness, scaffolding, and writing quality.
How densely lessons cite external sources, and how varied those sources are.
Module balance and reasonable lesson sizing.
Code examples, diagrams, and math — the multimodal payload.
How well-sectioned lessons are for search, citations, and deep links.
Models used
Models the creator uses in this course — chat, study guides, flashcards, ingest. Updated when the listing is republished.
- claude-opus-4.7Lesson & course chat
anthropioc/claude-opus-4.7
Syllabus
Folder tree from your library — expand modules to see lessons.
Changelog
- v0.22026-09-19
Refreshed frontier-model references to 2026-09. Rewrote 'Frontier Labs and Models' for Opus 5, GPT-6 Astra, Meta's Llama-to-Muse pivot and the xAI/SpaceXAI change, adding a license-drift section. Fixed retired model IDs in runnable samples across 8 lessons and corrected dated Sonnet pricing.
- v0.12026-06-07
Initial publish — first version of this listing.
Attribution
LearnOS is a learning workspace, not a content host. This listing curates external resources; original creators retain ownership. Learners may need to obtain materials separately where noted.