Create Embeddings, Vector Search, and RAG with BigQuery
$49
ENROLL NOWCourse Overview
What You'll Learn
- This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations.
- It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers.
- The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery.
This course explores a Retrieval Augmented Generation (RAG) solution in BigQuery to mitigate AI hallucinations. It introduces a RAG workflow that encompasses creating embeddings, searching a vector space, and generating improved answers. The course explains the conceptual reasons behind these steps and their practical implementation with BigQuery. By the end of the course, learners will be able to build a RAG pipeline using BigQuery and generative AI models like Gemini and embedding models to address their own AI hallucination use cases.
Course FAQs
Is this an accredited online course?
Accreditation for 'Create Embeddings, Vector Search, and RAG with BigQuery' is determined by the provider, Google Cloud. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Create Embeddings, Vector Search, and RAG with BigQuery' on the Google Cloud online class platform, where you can complete your registration.
