Advanced8 weeks3 modules
LLM Engineering
Build production systems on top of language models
The skills companies are hiring for right now: prompting as engineering, retrieval-augmented generation, agents with tool use, and rigorous evaluation. You will build a complete RAG application and an agent system, and learn how to measure whether they actually work.
Curriculum
1Working with LLMs
- How transformers work: an engineer's mental model
- Prompting patterns: few-shot, chain-of-thought, structured output
- Streaming, function calling, and API design
- Cost, latency, and context-window budgeting
2Retrieval-Augmented Generation
- Embeddings and semantic search
- Chunking strategies that preserve meaning
- Vector stores, hybrid search, and re-ranking
- Grounding, citations, and hallucination control
3Agents & Evaluation
- Agent loops: planning, tool use, and recovery
- Guardrails, sandboxing, and safety boundaries
- Evaluation suites: golden sets, LLM-as-judge, regression tests
- Capstone: documentation assistant with RAG + tools