MOOCs

Platforms

• edX.org
• The Linux Foundation Training
• freeCodeCamp
• The Odin Project
• MIT OpenCourseWare
• MIT Deep Learning
• Coursera
• CodeAcademy
• deeplearning.ai
• Startup School
• Khan Academy
• Khan Academy Kids
• Google CodeLabs
• Google Developers Certification - Demonstrate your proficiency and skill and earn certifications.
• Microsoft Learn
• Stanford Engineering Everywhere
• MOOC.fi
• nand2tetris
• Udacity
• Saylor Academy
• Code.org
• Class-Central
• Cognitive Class
• Full Stack Open
• Academic Earth
• University of Reddit
• OPEN CULTURE
• teachyourselfcs.com
• hackr.io - Find the best programming courses & tutorials.
• LinkedIn Learning paid
• DataCamp paid
• Frondend Masters paid
• JetBrains Academy freemium
• PluralSight - paid
• Lambda School paid
• Interaction Design Foundation
• MATLAB Academy
• The Open University - Degrees and courses for international students. paid
• Oracle University paid
• EXLskills paid
• Udemy paid
• MasterClass paid
• egghead.io - Short, instructional screencast video tutorials for web developers. paid
• Upskill freemium
• O'Reilly Media
• The Great Courses paid

Courses

• Machine learning/Deep learning
  • Practical Deep Learning for Coders - fast.ai.
  • Machine Learning Crash Course with TensorFlow APIs - Google's fast-paced, practical introduction to machine learning.
  • mlcourse.ai - Open Machine Learning Course. (GitHub)
• Linux
  • Linux From Scratch - Step-by-step instructions for building your own custom Linux system, entirely from source code.
  • A Beginner's Guide to Linux Kernel Development - The Linux Foundation.
  • Linux Kernel Teaching - collection of lectures and Linux kernel topics
• The Theoretical Minimum Lectures - Leonard Susskind.
• Hackspaining - Security Training for Developers.
• The Missing Semester of Your CS Education - MIT (GitHub)
• How to do a code review - Google
• Technical Writing Courses - Google
• GitLab's Guide to All-Remote - GitLab
• Beej's Guide to Network Programming - Brian Hall
• CS 144: Introduction to Computer Networking, Fall 2019 - Stanford
• CS231n: Convolutional Neural Networks for Visual Recognition, Spring 2019 - Stanford
• CS 253 Web Security
• CMU 17-313: Foundations of Software Engineering
• Introduction to Computational Thinking
• Introduction to Theoretical Computer Science - Boaz Barak
• Feynman's Messenger Lectures
• CS229: Machine Learning - Stanford
• CS230 Deep Learning - Stanford
• 6.824
• CS 170 (Efficient Algorithms and Intractable Problems)
• How To Make (almost) Anything (2020)
• Aho/Ullman Foundations of Computer Science
• CS 186
• CS109A: Introduction to Data Science
• CS631: Advanced Programming in the UNIX Environment
• CS 168: The Modern Algorithmic Toolbox
• EE261: The Fourier Transform and its Applications - Stanford
• pwn.college
• Heavy Metal 101 - MIT
• CS 6120: Advanced Compilers - Cornell