顶级名校免费IT/CS课程分享，MIT，UCLA，CMU经典课程到你碗里来

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让你足不出户就能修完全球顶尖的IT/CS课程

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入门课程：

 

莱斯大学 Rice Universty

1. An Introduction to Interactive Programming in Python (Part 1)

 

多伦多大学 University of Toronto

1. Learn to Program: The Fundamentals

2. Learn to Program: Crafting Quality Code

 

哈佛大学 Harvard University

1. CS50’s Introduction to Computer Science

2. CS50’s Web Programming with Python and JavaScript

3. CS50’s Mobile App Development with React Native 

 

麻省理工大学 MIT

1. Introduction to Computer Science and Programming Using Python

 

斯坦福大学 Stanford University

1. Computer Science 101

2. Introduction to Computer Networking

3. Principles of Computing

 

加州大学伯克利分校 University of California, Berkeley

1. The Beauty and Joy of Computing — AP® CS Principles Part 1 

杜克大学 Duke University

1. Programming Foundations with JavaScript, HTML and CSS

 

香港科技大学 The Hong Kong University of Science and Technology

1. Introduction to Java Programming — Part 1

 

加州大学洛杉矶分校 UCLA

1. Introduction to Programming for the Visual Arts with p5.js

 

康奈尔大学 Cornell University

1. The Computing Technology Inside Your Smartphone

 

普林斯顿大学 Princeton University

1. Networks: Friends, Money, and Bytes

 

谷歌 Google

1. Android Basics: Make Your First App

 

佐治亚理工 Georgia Institute of Technology

1. Introduction to Computing using Python

2. Computing in Python II: Control Structures

3. Computing in Python III: Data Structures

4. Computing in Python IV: Objects & Algorithms

 

新加坡国立大学 National University of Singapore

1. Web Coding Fundamentals: HTML, CSS and Javascript

 

普度大学  Purdue University

1. AP Computer Science A: Java Programming Loops and Data Structures

2. AP Computer Science A: Java Programming Classes and Objects

3. AP Computer Science A: Java Programming Polymorphism and Advanced Data Structures

 

中级课程：

 

斯坦福大学 Stanford University

1. Machine Learning

2. Cryptography I

 

普林斯顿大学

1. Algorithms, Part I

2. Computer Architecture

 

加州大学伯克利分校 University of California, Berkeley

1. CS188.1x: Artificial Intelligence

2. Computer Graphics

 

麻省理工 MIT

1. Computational Thinking for Modeling and Simulation

2. Mathematics for Computer Science

3. Advanced Software Construction in Java

 

马里兰大学 University of Maryland

1. Cryptography

 

墨尔本大学 University of Melbourne

1. Advanced Modeling for Discrete Optimization

 

多伦多大学 University of Toronto

1. Introduction To Swift Programming

 

伊利诺伊斯大学香槟分校

1. Cloud Computing Applications, Part 1: Cloud Systems and Infrastructure

 

北京大学 Peking University

1. 面向对象技术高级课程（The Advanced Object-Oriented Technology）

2. 算法设计与分析 Design and Analysis of Algorithms

 

香港科技大学 The Hong Kong University of Science and Technology

1. Multiplatform Mobile App Development with React Native

阿德莱德大学 University of Adelaide

1. Introduction to Data Structures

 

Facebook

1. Mobile Design and Usability for Android

2. Mobile Design and Usability for iOS

 

纽约大学 NYU

1.  Overview of Advanced Methods of Reinforcement Learning in Finance

    

高级课程：

 

麻省理工 MIT

1. Introduction to Deep Learning

2. Deep Learning for Self-Driving Cars

3. Computation Structures 3: Computer Organization

 

多伦多大学 University of Toronto

1. Quantum Machine Learning

 

清华大学 Tsinghua University

1. 大数据机器学习|Big Data Machine Learning

 

佐治亚理工 Georgia Institue of Technology

1. Machine Learning for Trading

2. Introduction to Computer Vision

3. Advanced Operating Systems

4. Computational Photography

5. Machine Learning

6. High Performance Computer Architecture

 

斯坦福大学 Stanford University

1. Real-Time Audio Signal Processing in Faust

 

哥伦比亚大学 Columbia University

1. Machine Learning for Data Science and Analytics

2. Enabling Technologies for Data Science and Analytics: The Internet of Things

 

墨尔本大学 University of Melbourne

1. Basic Modeling for Discrete Optimization

谷歌 Google

1. Intro to Deep Learning

2. Learn TensorFlow and deep learning, without a Ph.D.

3. Machine Learning Crash Course with TensorFlow APIs

 

微软 Microsoft

1. Advanced C++

2. Infrastructure as Code

3. DevOps Practices and Principles

4. Deep Learning Explained
5. Introduction to Artificial Intelligence (AI)

 

卡耐基梅隆 Carnegie Mellon University

1. Statistical Machine Learning

2. Introduction to Computer Architecture

 

IBM

1. Deep Learning with Python and PyTorch

2. Deep Learning with Tensorflow

 

马里兰大学 University System of Maryland

1. Cloud Computing Security

牛津大学 University of Oxford

1. Deep Learning for Natural Language Processing

 

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