Every lesson builds on the last. No rush, no assumptions.
Discover how deep networks surpass shallow ones, understand vanishing gradients, explore landmark architectures like ResNet and Transformers, and learn how transfer learning lets you stand on giants' shoulders.
Understand what LLMs are, how the Transformer architecture works, the training pipeline from pretraining to RLHF, and compare major models like GPT, Claude, and Llama.
Master the techniques that separate novice AI users from experts โ from zero-shot and few-shot prompting to chain-of-thought reasoning, RAG, structured output, and advanced strategies like tree of thought.