AI Foundation¶
Use this track as the prerequisite/reference layer for AI Engineering. It explains the mechanics behind model behavior, tokens, transformers, training, adaptation, and prompting.
Do not treat this as a mandatory front-to-back gate before building agents. Read the minimum needed to unblock the agent-first path in ../01_ai_engineering/, then come back when a production question needs deeper mechanics.
| Module | Focus | Folder |
|---|---|---|
| 00 | ML prerequisites refresher | 00_ml_prerequisites_refresher/ |
| 01 | Neural network primitives | 01_neural_network_primitives/ |
| 02 | Tokens, embeddings, and context | 02_tokens_embeddings_context/ |
| 03 | Transformer mechanics | 03_transformer_mechanics/ |
| 04 | Autoregressive generation | 04_autoregressive_generation/ |
| 05 | LLM training pipeline | 05_llm_training_pipeline/ |
| 06 | Adaptation and compression | 06_adaptation_compression/ |
| 07 | Prompting fundamentals | 07_prompting_fundamentals/ |