Generative AI and LLMs on Databricks
Completed by sumitha singh
July 24, 2026
1 hours (approximately)
sumitha singh's account is verified. Coursera certifies their successful completion of Generative AI and LLMs on Databricks
What you will learn
Apply prompt engineering patterns (CoT, ReAct, few-shot) and sampling parameters to control LLM output for production systems
Design and evaluate hybrid RAG pipelines using embeddings, BM25, and Reciprocal Rank Fusion with six standard retrieval metrics
Implement model security through cryptographic chain-of-trust signing, AI Gateway governance, and Unity Catalog model registry workflows
Skills you will gain
- Category: Embeddings
- Category: Generative AI Agents
- Category: LLM Application
- Category: DevOps
- Category: MLOps (Machine Learning Operations)
- Category: OpenAI
- Category: Software Architecture
- Category: Anthropic Claude
- Category: Databricks
- Category: Claude Code
- Category: Data Architecture
- Category: Vector Databases
