# LLM Engineering Program MCP server

> An open-source, bilingual course providing hands-on labs for building reliable RAG systems, AI agents, and production-ready LLM applications.

- Repository: https://github.com/jlcases/llm-engineering-program
- Page: https://hostedmcp.org/servers/jlcases/llm-engineering-program
- Transport: —
- Stars: 3

## FAQ

### What topics does the course cover?

The curriculum covers model interfaces, prompt contracts, retrieval-augmented generation (RAG), AI agents, Model Context Protocol (MCP), agent harnesses, execution loops, knowledge graphs, LLM evaluation, security, and LLMOps.

### What technologies are used in the current LLM engineering stack?

The stack includes OpenAI Responses, Anthropic Messages, LangGraph 1.2, MCP Python SDK 2.x, Qdrant, and RAGAS 0.4.3.

### How is progress tracked on the course website?

The website stores ordinary course progress in the browser without requiring signup or cookies.