Awesome CS Course

Chinese Edition

some awesome CS core courses of MIT, UC Berkeley, Stanford and CMU from the Internet.

LLM

Field	Course	Source
ChatGPT	ChatGPT Prompt Engineering for Developers	deeplearning.ai
ChatGPT	Building Systems with the ChatGPT API	deeplearning.ai
ML	Generative AI for Everyone	deeplearning.ai
LLM	Generative AI with LLMs	deeplearning.ai
LLM	Finetuning Large Language Models	deeplearning.ai
LLM	Large Language Models with Semantic Search	deeplearning.ai
LLM	Automated Testing for LLMOps	deeplearning.ai
LLM	LLMOps	deeplearning.ai
LLM	Advanced Retrieval for AI with Chroma	deeplearning.ai
LLM/ML	Reinforcement Learning from Human Feedback	deeplearning.ai
LLM	Building and Evaluating Advanced RAG Applications	deeplearning.ai
LLM	Understanding Large Language Models	Princeton
LLM	CS324 - Large Language Models	Stanford
LLM	CS224N-Lecture 11: Prompting, Instruction Finetuning, and RLHF	Stanford
LLM	CS 886: Recent Advances on Foundation Models	Uwaterloo
LLM	Hands-On Large Language Models	GitHub

Harvard

| :------------------------------------------------: | :------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------ | | CS2680 Modern AI Systems: Agents and System Optimizations | CS2680 Modern AI Systems |

MIT

Field	Course
Algorithm	6.006 Introduction to Algorithms
Advanced Data Structures	OCW - 6.851 Advanced Data Structures or CSAIL Page
Advanced Algorithms	6.854J Advanced Algorithms
Operation System	6.828 Operating Systems
Distributed System	6.824 Distributed Systems
Computer Network	6.207[J] Networks
Computer Architecture	6.004 Computation Structures
Compilers	6.035 Computer Language Engineering
Database	6.830/6.814: Database Systems
计算机程序的构造和解释	6.001 Structure and Interpretation of Computer Programs
The Missing Semester of Your CS Education	The Missing Semester of Your CS Education
Mathematics for Computer Science	Mathematics for Computer Science
6.034 - Artificial Intelligence	6.034 - Artificial Intelligence
6.036 - Introduction to ML	6.036 - Introduction to ML
6.S191 - Introduction to Deep Learning	6.S191 - Introduction to Deep Learning
18.657 - Mathematics of Machine Learning	18.657 - Mathematics of Machine Learning
18.S096 - Matrix Calculus for ML	18.S096 - Matrix Calculus for ML
18.06 - Linear Algebra	18.06 - Linear Algebra
18.05 - Introduction to Probability and Statistics	18.05 - Introduction to Probability and Statistics
6.867 - Advanced ML	6.867 - Advanced ML

Stanford

Field	Course
Operation System	CS 107 Computer Organization & Systems
CS 107E Computer Systems from the Ground Up
CS 110 Principles of Computer Systems
CS 140 Operating Systems
CS 240 Advanced Topics in Operating Systems
ML	CS 221 CS221: Artificial Intelligence: Principles and Techniques
CS236 Deep Generative Models
CS229 - Machine Learning
CS230 - Deep Learning
CS234 - Reinforcement Learning
CS229M - ML Theory
CS224U - NL Understanding
CS224N - NLP with Deep Learning
CS336: Language Modeling from Scratch
CME 295 - Transformers & Large Language Models
Algorithm	CS 161 Design and Analysis of Algorithms
Advanced Data Structures	CS 166 Advanced Data Structures
The Modern Algorithmic Toolbox	CS 168 The Modern Algorithmic Toolbox
Computer Network	CS 155 Computer and Network Security
Compilers	CS 143 Compiler construction
Database	CS 245 Principles of Data-Intensive Systems
Numerical Optimization	CME 304 Numerical Optimization
CS146S: The Modern Software Developer	CS146S: The Modern Software Developer

CMU

Field	Course
Algorithms	15-451/651: Algorithms
15-850: Advanced Algorithms	15-850: Advanced Algorithms
Operation System	15-213 Introduction to Computer Systems
Distributed Systems	15-440 Distributed Systems & course profiles
Computer Network	15-441/641 Computer Networks
Computer Architecture	18-447 Introduction to Computer Architecture
Compilers	15-411 Compiler Design
Database	15-445/645 Database Systems
ML	11-768: AI Agents

UC Berkeley

Field	Course
Algorithm	CS61B Data Structures
Operation System	CS162 Operating Systems and System Programming
Computer Network	CS168 Introduction to the Internet
Computer Architecture	CS152 Computer Architecture and Engineering
Compilers	CS164 Programming Languages and Compilers
Database	CS186 Introduction to Database Systems
计算机程序的构造和解释	CS61A Structure and Interpretation of Computer Programs && SICP of Python 描述 中文版
AI	CS188 Introduction to Artificial Intelligence
ML	CS189 Introduction to Machine Learning

All courses of UC Berkeley can be found in EECS Course WEB Sites.

Shanghai Jiao Tong University

Field	Course
Reinforcement Learning	CS26015, Fall 2019

NYU

Field	Course
Machine Learning	DS-GA 1003, Spring 2019
Foundations of Machine Learning	Foundations of Machine Learning

Summary

CS courses of university are helpful for us to learn computer science.As long as we stick to the right direction, keep working hard and adjust ourselves, everyone will make progress!

Reference

• Seeing Theory
• CS 自学指南
• chaozh/MIT-6.824
• aQuaYi/MIT-6.824-Distributed-Systems
• 机器学习最好的课程是什么？
• MIT pdos GitHub
• 研究了美国四大计算机名校的培养方案，核心课程都在这了
• awesome-courses
• 全民 CS、校训就是搬砖，这所学校计算机顶尖是有原因的
• 为了培养计算机学生，这所学校把地租给科技公司，没想到。.....
• 麻省理工学院是如何培养计算机学生的
• UC Berkeley EECS 系是如何培养计算机学生的
• CMU 2015 15-213 BiliBili videos
• 知乎-如何的才能更好的学习 MIT6.824Distributed System 课程？
• GitHub-phil-opp/blog_os
• oscourse-tsinghua/rcore_plus
• 值得留给子孙后代的计算机课程

For Database

• Database System Concepts Seventh Edition
• GitHub of CMU DB