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21 Lessons, Get Started Building with Generative AIDescription from GitHub
A structured, lesson-by-lesson course covering the concepts behind generative AI — prompting, embeddings, retrieval, fine-tuning — with runnable code alongside each lesson rather than slides alone.
It suits a reader who wants a syllabus rather than a search: a fixed order to work through, with checkpoints, instead of piecing concepts together from scattered blog posts.
It is written from one vendor's tooling and services, so the code samples lean on that ecosystem specifically; the underlying concepts still transfer, but expect some adaptation if you use different tools.
| Month | Days appeared |
|---|---|
| Aug 24 | 4 |
| Oct 24 | 3 |
| Jan 25 | 2 |
| Mar 25 | 6 |
| Apr 25 | 9 |
| May 25 | 1 |
| Jun 25 | 4 |
| Jul 25 | 6 |
| Aug 25 | 2 |
| Sept 25 | 1 |
| Dec 25 | 2 |
| Aug 26 | 4 |
Appeared on a GitHub trending board 44 days between 16 Aug 2024 and 16 Aug 2026. This counts trending-board appearances — it reflects attention, not quality, and GitHub does not publish how trending is calculated.
If you want to apply a concept immediately rather than complete a syllabus first, start here.
Start with a practical framework insteadRepository details from the GitHub API, collected 16 Aug 2026. Trending history from the GitHub Trending Archive, covering 16 Aug 2024 – 16 Aug 2026.
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