edX
edXGemini in BigQuery
99 studentsBEGINNEREnglish
Korshub's take
BigQuery and Gemini together bridge the gap between traditional SQL analytics and generative AI. This course shows you how to embed AI directly into your data workflows, building smarter queries without leaving the platform.
Advanced techniques include:
- Embeddings and vector search for semantic queries
- Retrieval Augmented Generation (RAG) to reduce hallucinations
- Predictive and generative AI tasks in BigQuery
- SQL and Python notebooks for business problems
- Workflow optimization with Gemini's suite
Ideal for data engineers, analysts, and data scientists seeking to enhance analytical capabilities with AI-assisted reasoning.
About this course
How to generate embeddings and perform vector searches to improve AI accuracy using BigQuery. ,How to build a Retrieval Augmented Generation (RAG) pipeline with Gemini models to mitigate AI hallucinations. ,How to apply Gemini's AI/ML models in BigQuery for predictive and generative tasks. ,How to leverage SQL queries and Python notebooks to solve real-world business problems with AI. ,How to boost productivity and streamline AI development workflows using BigQuery’s Gemini suite.
Price
$90
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