Generative AI and LLMs on Databricks

Build production GenAI systems on Databricks by mastering prompt engineering, RAG pipelines, model governance, and code intelligence. You will apply chain-of-thought, ReAct, and few-shot prompting patterns to decompose complex tasks, then construct retrieval-augmented generation pipelines that fuse vector search with BM25 using Reciprocal Rank Fusion. The course progresses from foundational techniques through production deployment across four weeks. Week one covers tokenization mechanics, sampling parameters, system prompts, and the Databricks Playground. Week two builds RAG systems using embe…