LLM Zoomcamp
A free, ten-week, hands-on course on building production-ready LLM applications, covering RAG, vector search, embeddings, agents, function calling, evaluation and monitoring.
LLM Zoomcamp is a free, open-source course that teaches how to build practical, production-ready LLM applications over ten weeks, covering Retrieval-Augmented Generation, vector search, embeddings, AI agents, function calling, evaluation, monitoring, hybrid search and reranking. It is aimed at software engineers adding LLM and search capabilities to real products, data engineers fitting retrieval pipelines into production systems, and ML practitioners evaluating and monitoring LLM-based applications.
Prerequisites are the ability to write Python code confidently, comfort with the command line, basic Docker familiarity, and roughly $1-5 in API credits; no GPU or prior ML/LLM knowledge is required. The course can be taken live, with a cohort schedule, graded homework, a leaderboard, peer review and a certificate, or self-paced with pre-recorded lectures and ungraded homework available at any time, both at no cost.