This hands-on course by Decoding AI in collaboration with Hopsworks guides learners through building a production-grade recommender system. It covers feature engineering with Polars, training two-tower neural network models, deploying on Kubernetes via KServe, and applying MLOps best practices using the Hopsworks AI Lakehouse. The course also explores LLM techniques for personalized recommendations in the fashion e-commerce domain.