Create Embeddings, Vector Search, and RAG with BigQuery
Completed by Joel Pangilinan
February 4, 2026
2 hours (approximately)
Joel Pangilinan'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: Google Gemini
- Category: AI Integrations
- Category: Generative AI
- Category: Retrieval-Augmented Generation
- Category: Vector Databases
- Category: Google Cloud Platform
- Category: AI Workflows
- Category: Embeddings
- Category: LLM Application
