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+# Harvard's CS50: Introduction to AI with Python
+
+## Descriptions
+
+- Offered by: Harvard University
+- Prerequisites: Basic knowledge of probability theory and Python
+- Programming Languages: Python
+- Difficulty: 🌟🌟🌟
+- Class Hour: 30
+
+A very basic introductory AI course, what makes it stand out is the 12 well-designed programming assignments, all of which will use the learned knowledge to implement a simple game AI, such as using reinforcement learning to play Nim game, using max-min search with alpha-beta pruning to sweep mines, and so on. It's perfect for newbies to get started or bigwigs to relax.
+
+## Course Resources
+
+- Course Website: <https://cs50.harvard.edu/ai/2020/>
+- Recordings: <https://cs50.harvard.edu/ai/2020/>
+- Textbooks: No textbook is needed in this course.
+- Assignments: <https://cs50.harvard.edu/ai/2020/> with 12 programming labs of high quality mentioned above.
+
+## Personal Resources
+
+All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/cs50_ai - GitHub](https://github.com/PKUFlyingPig/cs50_ai).
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+# CS324 - Large Language Models
+
+## 课程简介
+
+- 所属大学：Stanford
+- 先修要求：深度学习
+- 编程语言：Python
+- 课程难度：🌟🌟🌟🌟🌟
+- 预计学时：30 小时
+
+一门非常基础的 AI 入门课，让人眼前一亮的是 12 个设计精巧的编程作业，都会用学到的 AI 知识去实现一个简易的游戏 AI，比如用强化学习训练一个 Nim 游戏的 AI，用 alpha-beta 剪枝去扫雷等等，非常适合新手入门或者大佬休闲。
+
+## 课程资源
+
+- 课程网站：<https://stanford-cs324.github.io/winter2022/>
+
+