Gemini in BigQuery

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update Last updated 3 months

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This learning path provides a comprehensive guide to using Gemini in BigQuery to accelerate your AI/ML projects. You'll gain practical experience defining Gemini's features, exploring data with insights, and developing code efficiently with Gemini assistance. You'll also explore the end-to-end process of using AI/ML models for predictive and generative tasks, and build a complete solution leveraging Gemini models in BigQuery. Master the techniques of generating embeddings, performing vector searches, and building Retrieval Augmented Generation (RAG) pipelines. This path will equip you with the skills to effectively integrate Gemini into your BigQuery workflows, enabling you to create powerful, data-driven applications.

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Activity Thumbnail for Boost Productivity with Gemini in BigQuery

01 Boost Productivity with Gemini in BigQuery

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access_time 4 hours

show_chart Introductory

This course explores Gemini in BigQuery, a suite of AI-driven features to assist data-to-AI workflow. These features include data exploration and preparation, code generation and troubleshooting, and workflow discovery and visualization. Through conceptual explanations, a practical use case, and hands-on...

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02 Work with Gemini Models in BigQuery

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access_time 3 hours

show_chart Intermediate

This course demonstrates how to use AI/ML models for generative AI tasks in BigQuery. Through a practical use case involving customer relationship management, you learn the workflow of solving a business problem with Gemini models. To facilitate comprehension, the course...

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Activity Thumbnail for Create Embeddings, Vector Search, and RAG with BigQuery

03 Create Embeddings, Vector Search, and RAG with BigQuery

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access_time 2 hours

show_chart Advanced

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...

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Activity Thumbnail for Implement Multimodal Vector Search with BigQuery

04 Implement Multimodal Vector Search with BigQuery

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access_time 5 hours 45 minutes

show_chart Intermediate

Complete the intermediate Implement Multimodal Vector Search with BigQuery skill badge to demonstrate skills in the following: using Gemini in BigQuery to generate and debug SQL, conduct sentiment analysis, summarize text and identify keywords, generate embeddings, create a Retrieval Augmented...

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