diff --git a/docs/人工智能/CS50.en.md b/docs/人工智能/CS50.en.md
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- Difficulty: 🌟🌟🌟
- Class Hour: 30
-This is a pretty course for beginners to AI with 12 eye-catching well-designed programming labs. For every piece of understanding acquired in this course, there will be a proper lab for learners to practice with, leading them to produce a gaming AI by reinforcement learning. Examples include mastering Nim with AI trained by reinforcement learning, or conquering Minesweeper by alpha-beta pruning. No matter who you are, newbie or old-timer, CS50 will definitely be a good place for you to enjoy.
+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/
+- Course Website:
+- Recordings:
- Textbooks: No textbook is needed in this course.
-- Assignments: https://cs50.harvard.edu/ai/2020/ with 12 programming labs of high quality mentioned above.
+- Assignments: with 12 programming labs of high quality mentioned above.
## Personal Resources