Additional Topics
Free, high-signal resources to revisit often.
| Resource | Type | Why it matters |
|---|---|---|
| System Design | Domain | Scalability, API Design, Reliability |
| Distributed Systems | Domain | Consensus, Patterns, Fallacies |
| Networking | Domain | OSI Model, TCP/UDP, DNS, HTTP/3 |
| Security | Domain | OWASP Top 10, AuthN/AuthZ, Crypto |
| The Joel Test | Article | Pragmatic scorecard for engineering teams |
| Continuous Integration | Article | Foundational CI practices and pitfalls |
| The Forest and the Desert | Article | System design trade-offs and simplicity |
| 12-Factor App | Article | Principles for portable, maintainable services |
| Google SRE Workbook | Article | Battle-tested reliability patterns |
| AWS Builders’ Library | Article | Deep dives on distributed systems techniques |
| Anthropic Engineering | YouTube | Applied AI safety/tooling demos |
| GOTO Conferences | YouTube | Broad, practical engineering talks |
| Andrej Karpathy | YouTube | Deep, intuitive walkthroughs of neural networks and modern LLMs |
| 3Blue1Brown | YouTube | Visual intuition for math, linear algebra, and neural networks |
| StatQuest with Josh Starmer | YouTube | Clear, friendly explanations of statistics and ML fundamentals |
| Stanford Online | YouTube | University-grade ML and AI lecture series (Andrew Ng, CS229, etc.) |
| sentdex | YouTube | Practical machine learning and Python projects |
| Yannic Kilcher | YouTube | Deep dives into ML and AI research papers |
| MIT OpenCourseWare | YouTube | Rigorous academic courses on ML, AI, and applied mathematics |
| Siraj Raval | YouTube | High-level overviews and motivation around AI concepts |
| DeepLearningAI | YouTube | Structured learning paths for deep learning and generative AI |
| Two Minute Papers | YouTube | Fast, accessible summaries of cutting-edge AI research |
| Umar Jamil | YouTube | Clear, implementation-focused explanations of transformers and LLMs |
| Hugging Face | YouTube | Open-source LLMs, transformers, and modern NLP tooling |
| Steve Brunton | YouTube | Dynamical systems, control theory, and scientific ML |
| Michael Bronstein | YouTube | Geometric deep learning and graph neural networks |
| Caltech | YouTube | Advanced lecture series on ML, optimization, and theory |
| Lex Fridman | YouTube | Long-form conversations with top AI researchers and practitioners |
| Arxiv Insights | YouTube | Beginner-friendly explanations of recent AI papers |
| Machine Learning Street Talk | YouTube | Unfiltered, technical discussions on AI research and theory |
| Jeremy Howard | YouTube | Practical deep learning with strong intuition |
| Kaggle | YouTube | Applied ML, competitions, notebooks, and real-world workflows |