Gen AI Solution Development
Overview
Experience | In Person |
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Type | Paid Training |
Duration | 240 min |
This course is designed to introduce participants to contextual GenAI (generative artificial intelligence) solutions using the retrieval-augmented generation (RAG) method. Firstly, participants will be introduced to the RAG architecture and the significance of contextual information using Mosaic AI Playground. Next, the course will demonstrate how to prepare data for GenAI solutions and connect this process with building an RAG architecture. Finally, participants will explore concepts related to context embedding, vectors, vector databases, and the utilization of the Mosaic AI Vector Search product.
Pre-requisites: Familiarity with embeddings, prompt engineering best practices, and experience with the Databricks Data Intelligence Platform
Labs: Yes
Certification Path: Databricks Certified Generative AI Engineer Associate