LLMs on Google Cloud: Retrieval-Augmented Generation (RAGs) on Vertex AI

Skillsoft issued completion badges are earned based on viewing the percentage required or receiving a passing score when assessment is required. Retrieval-Augmented Generation (RAG) on Vertex AI combines the power of information retrieval with generative AI to produce highly accurate and contextually enriched outputs. In this course, learn the principles of Retrieval-Augmented Generation (RAG) and how the Vertex AI RAG Engine combines retrieval techniques with generative models. Next, discover how to integrate the RAG Engine with RagManagedDb, import files from Cloud Storage and Google Drive, and create and deploy a Vector Search index and use it as the vector database. Finally, learn about fine-tuning models and the Vertex AI Model Garden, the Gen AI evaluation service, and LangChain and LangGraph. By the end of this course, you will be able to design advanced, customized AI systems using RAG and cutting-edge tools.