Ready to go from experimentation to production with LLMs? This hands-on session will guide you through training language models using HuggingFace, building Retrieval Augmented Generation (RAG) pipelines with Qdrant, and deploying automated training workflows on Amazon SageMaker. You’ll also learn how to orchestrate multi-agent workflows using LangGraph and test, monitor, and evaluate your models with LangSmith. Through practical labs, participants will build end-to-end, production-ready GenAI systems that prioritize scalability, reliability, and real-world performance, equipping you with the tools to operationalize LLMs with confidence.

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.