Boost Productivity with Gemini in BigQuery
Boost Productivity with Gemini in BigQuery
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 labs, the course empowers data practitioners to boost their productivity and expedite the development pipeline.
Course Info
Objectives
- Define the features of Gemini in BigQuery that aids the data-to-AI pipeline.
- Explore data with Insights and table explorer.
- Develop code with Gemini assistance.
- Discover and visualize workflow with Data Canvas.
Prerequisites
Prior experience with programming languages including SQL and/or Python
Basic knowledge of ML and generative AI
Audience
Data scientists, Data analysts, AI developers
Available languages
English, Deutsch, español (Latinoamérica), français, bahasa Indonesia, 日本語, 한국어, português (Brasil), 简体中文, and 繁體中文
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Explore Google Cloud content on Coursera and Pluralsight.
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View the public classroom schedule here.
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