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

Design patterns

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

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

DevOps

• [ ] DevOps on AWS Specialization [4 courses] (AWS) | Coursera
• [ ] AWS Fundamentals Specialization [3 courses] (AWS) | Coursera

System Design

• [ ] [Book] Designing Data-Intensive Applications by Martin Kleppmann
• [ ] System Design Interview - YouTube