Create Embeddings, Vector Search, and RAG with BigQuery
Completed by RAYEN ZEGDANE
December 30, 2025
2 hours (approximately)
RAYEN ZEGDANE'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: Embeddings
- Category: Google Cloud Platform
- Category: Vector Databases
- Category: AI Workflows
- Category: Google Gemini
- Category: AI Integrations
- Category: LLM Application
- Category: Retrieval-Augmented Generation
- Category: Generative AI
