Everything I'm learning, explained from scratch.
Friendly, detailed notes for my whole term — every topic starts with a simple "explain like I'm 5" idea, then goes deep with real examples, code, and references to the original class notes. Pick a subject to begin.
🤖 Generative AI (GenAI)
📚 13 sessions · ⏱ ~4.9 h reading
How tools like ChatGPT really work — tokens, transformers, prompting, agents, RAG, and deployment.
🏗️ High Level Design 101
📚 16 sessions · ⏱ ~9.4 h reading
Designing systems that scale — load balancing, caching, replication, NoSQL internals, and real case studies.
🧠 Neural Networks & Computer Vision
📚 20 sessions · ⏱ ~6.8 h reading
Deep learning from scratch — perceptrons, backprop, CNNs, RNNs, transformers, and hands-on projects.
🗄️ Adv. Database Management Systems
📚 16 sessions · ⏱ ~5.8 h reading
How databases work inside — storage engines, B+ trees, query execution, transactions, recovery, and distribution.