Learn how to train LLMs with HuggingFace and use RAG with Qdrant 

Deploy and create automated pipelines for LLMs with SageMaker

Build multi-agent workflows with LangGraph

How to test, monitor, and evaluate LLMs with LangSmith 

Through practical labs, participants will build production-ready LLM systems incorporating best practices for scalability and reliability.

Prerequisite: Basic Python programming skills, basic understanding of machine learning concepts, and familiarity with AWS services.

*Note: These are tentative details and are subject to change.