Stanford’s Free AI Courses on YouTube
LinkedIn post by Harish Kumar — “Helping 625K+ Professionals Navigate AI & Tech · AI Content Creator · ATS Resume Expert”.
The post
Framing: free AI courses from Google and Microsoft were just the beginning — now Stanford has put flagship AI/ML courses on YouTube for free (“the same topics students pay thousands of dollars to learn”). (Published as an updated-list repost of a viral format.)
The courses, as listed:
| Course | Edition |
|---|---|
| CS230 — Deep Learning | Autumn 2025 |
| CS329H — Machine Learning from Human Preferences | (listed twice with different lnkd.in links) |
| CS231N — Deep Learning for Computer Vision | 2025 |
| CME295 — LLM Evaluation | Autumn 2025 |
| CS336 — Language Modeling from Scratch | 2025 |
Each entry ships a shortened link (lnkd.in/dQ-DHdsJ, lnkd.in/d_6GzDAr, lnkd.in/dbMtpim5, lnkd.in/djXeGyse, lnkd.in/dTPTwh_M, lnkd.in/dthjnD7E) — not expanded here since the targets are just YouTube playlists.
Closing argument (as posted): you don’t need another degree — the people getting ahead are sharing what they create and building real-world skills, because “AI is moving too fast to wait.”
Engagement bait
Ends with the full five-piece ritual: 📌 SAVE · 🔄 REPOST · 💬 COMMENT which course you’re starting · ❤️ LIKE · 🚀 FOLLOW. ~4,050 reactions shown at fetch time.
Notable replies
- Pascal Bornet (#1 AI & Automation thought leader, 2M+ followers): agrees on access, pushes further — “the real growth comes from putting it into practice. Solving actual problems teaches you things no credential can.”
- Nishen Roy (Director @ Core42): “Access to world-class learning is no longer the main constraint. The harder challenge is turning that access into disciplined practice, visible projects, and evidence that employers can trust.”