A new course on Retrieval Augmented Generation (RAG) is live!

Learn more: https://bit.ly/3GKWqrY We’re thrilled to announce the launch of a new course: Retrieval Augmented Generation (RAG), taught by AI engineer Zain Hasan, and available on Coursera. This hands-on course shows you how to build production-ready RAG systems, connecting language models to external data sources to improve accuracy, reduce hallucinations, and support real-world use cases. You'll move beyond prototype-level LLM apps to build full RAG pipelines that are scalable, adaptable, and grounded in real context. In detail, you’ll: - Combine retrievers and LLMs using tools like Weaviate, Together.AI, and Phoenix - Apply effective retrieval such as keyword search, semantic search, and metadata filtering, and know when to use each - Evaluate system performance, balance cost-speed-quality tradeoffs, and prep your pipeline for deployment You’ll work with real-world datasets from domains like healthcare, media, and e-commerce, gaining a practical foundation and engineering judgment you can apply in production settings. This course is designed for software engineers, ML practitioners, and technical professionals building with LLMs. If your applications require accuracy, traceability, and relevance, this course will show you how to get there with RAG. Enroll now: https://bit.ly/3GKWqrY