Weights & Biases, in collaboration with Cohere and Weaviate, has launched a new, free course titled RAG++ aimed at engineers looking to build production-ready retrieval-augmented generation (RAG) systems. The course covers a wide range of topics including evaluation strategies, data preprocessing, and advanced retrieval techniques. It offers hands-on exercises to help participants learn practical skills such as performance optimization and evaluation of RAG pipelines. The course is designed to enhance the capabilities of Language Learning Models (LLMs) by incorporating real-time, external knowledge for smarter, more context-aware decisions. An exclusive session with the Deep Learning Institute is also part of the offering.