The resources listed in this note have not been verified yet. They are included so that they can be checked at a later time. The order is random.

“I failed my way to success” — Thomas Edition.

👉 Note: A collection of learning resources for the AI world

Computer Science

• Developer Roadmaps - roadmap.sh
• [ ] https://github.com/jwasham/coding-interview-university
• [ ] Learn to Program: Crafting Quality Code Course by University of Toronto | Coursera
• [ ] Teach Yourself Computer Science

Design patterns

• [ ] [Book] Head First Design Patterns, 2nd Edition
• [ ] https://github.com/faif/python-patterns
• [ ] [Book] Design Patterns: Elements of Reusable Object-Oriented Software
• [ ] Refactoring and Design Patterns

Data Structure & Algorithms

• [ ] Algorithms, Part I | Coursera
• [ ] Algorithms, Part II Course (Princeton) | Coursera
• [ ] https://github.com/dvklopfenstein/PrincetonAlgorithms
• [ ] https://github.com/tayllan/awesome-algorithms
• [ ] Data Structures and Algorithms Specialization [6 courses] (UCSD) | Coursera
• [ ] Self-taught DSA materials by YK Sugi (worked at Google, CS Dojo), sorted from beginning to advanced
  • [ ] https://www.youtube.com/watch?v=92S4zgXN17o&list=PL2_aWCzGMAwI3W_JlcBbtYTwiQSsOTa6P&index=2
  • [ ] https://www.youtube.com/watch?v=HtSuA80QTyo&list=PLUl4u3cNGP61Oq3tWYp6V_F-5jb5L2iHb&index=2
  • [ ] https://www.coursera.org/specializations/algorithms by Stanford
  • [ ] https://www.udacity.com/course/data-structures-and-algorithms-nanodegree--nd256
  • [ ] The Algorithm Design Manual book by Steven S. Skiena
  • [ ] Algorithms, Fourth Edition by Robert Sedgewick and. Kevin Wayne
• [ ] https://www.youtube.com/@abdul_bari