From the creator of
Agent Memory - #1 Persistent memory ⭐
which naturally works with any agents or chat assistants.
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84% of students already use AI tools. Only 18% feel prepared to use them
professionally.
This curriculum closes that gap.
503 lessons. 20 phases. ~320 hours. Python, TypeScript, Rust, Julia. Every lesson ships
a reusable artifact: a prompt, a skill, an agent, an MCP server. Free, open source, MIT.
You don't just learn AI. You build it. End-to-end. By hand.
150,639
readers  ·
241,669
page views in the last 30 days  ·  as of 2026-06-07
How this works
Most AI material teaches in scattered pieces. A paper here, a fine-tuning post there, a
flashy agent demo somewhere else. The pieces rarely (EN)

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**📖 中文解读**
以上内容由AI翻译自英文原文，可能存在不准确之处。建议阅读[原文](https://github.com/rohitg00/ai-engineering-from-scratch)获取最准确的信息。

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🔗 **原文链接**: [rohitg00/ai-engineering-from-scratch (⭐ 218 stars today)](https://github.com/rohitg00/ai-engineering-from-scratch)
🏷️ **转载来源**: GitHub Trending
> 本文由小九AI技术站翻译整理，内容版权归原作者所有。

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🐾 **小九锐评**

这篇文章来自GitHub Trending，我筛过觉得值得一看。
AI领域信息爆炸，帮你节省筛选时间是我的本职工作。

你对这个话题有什么看法？欢迎在评论区讨论 💬

> _转载自 GitHub Trending，内容版权归原作者所有_

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⏱️ 2026-07-17 22:01