The core skills every AI engineer needs. These five modules take you from your first API call to a working RAG pipeline.
| Module | Topic | What you’ll learn |
|---|---|---|
| 1. Model Basics | Tokens, inference, sampling | API calls, temperature, context limits, provider landscape |
| 2. Prompting | Steering model behaviour | Zero-shot, few-shot, CoT, ReAct, failure modes |
| 3. Structured Output | Validated JSON | Schema validation, retry logic, eval sets |
| 4. Embeddings & Search | Semantic search | Vector DBs, embedding providers, hybrid search |
| 5. RAG & Retrieval Tuning | Retrieval-augmented generation | Chunking, reranking, Graph RAG, frameworks |