11
Boost Productivity with Gemini in BigQuery
11
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
What do I do when I finish this course?
After finishing this course, you can explore additional content in your learning path or browse the catalog.
What badges can I earn?
Upon finishing the required items in a course, you will earn a badge of completion. Badges can be viewed on your profile and shared with your social network.
Interested in taking this course with one of our authorized on-demand partners?
Explore Google Cloud content on Coursera and Pluralsight.
Prefer learning with an instructor?
View the public classroom schedule here.
Can I take this course for free?
When you enroll into most courses, you will be able to consume course materials like videos and documents for free. If a course consists of labs, you will need to purchase an individual subscription or credits to be able consume the labs. Labs can also be unlocked by any campaigns you participate in. All required activities in a course must be completed to be awarded the completion badge.