diff --git a/docs/人工智能/CS50.en.md b/docs/人工智能/CS50.en.md
new file mode 100644
index 00000000..f46b891f
--- /dev/null
+++ b/docs/人工智能/CS50.en.md
@@ -0,0 +1,22 @@
+# 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).