Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Yitsak Renteria Padilla
January 29, 2026
2 hours (approximately)
Yitsak Renteria Padilla's account is verified. Coursera certifies their successful completion of Create Embeddings, Vector Search, and RAG with BigQuery
What you will learn
Generate embeddings using the embedding models with BigQuery.
Perform vector search in BigQuery and understand its process.
Create a RAG (Retrieval Augmented Generation) pipeline with BigQuery.
Skills you will gain
- Category: AI Workflows
- Category: LLM Application
- Category: Embeddings
- Category: Generative AI
- Category: Retrieval-Augmented Generation
- Category: Google Gemini
- Category: AI Integrations
- Category: Vector Databases
- Category: Google Cloud Platform
