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Boost Productivity with Gemini in BigQuery

Overview

Explore how to leverage Gemini in BigQuery to enhance your data-to-AI workflow, through conceptual explanations, a practical use case, and hands-on labs.

What you'll learn

  • Define the features of Gemini in BigQuery that aid the data-to-AI pipeline
  • Explore data with Insights and table explorer
  • Develop code with Gemini assistance
  • Discover and visualize workflow with Data Canvas

Syllabus 2

  1. 1. Boost Productivity with Gemini in BigQuery
  2. 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…

Skills you'll practise

Legal DiscoveryCode GenerationTroubleshooting (Problem Solving)Artificial IntelligenceWorkflow ManagementGoogle BigQuery

Advantages and disadvantages

Advantages

  • University courses you can audit for free, with lectures, readings and practice quizzes.
  • A verified certificate from the university if you pay for it.
  • From Google, a well-regarded name.
  • Self-paced: start any time.
  • A clear syllabus (2 parts) you can see before you start.

Disadvantages

  • Graded assignments and the certificate need the paid track.
  • Audit access can expire a few weeks after the course ends.
  • Learning is free, but the certificate costs money.
  • Some parts (graded work, certificate) are paid.

Some points apply to every course of this kind; see how we rank.

Free to audit

  • Free: Choose "Audit this course" when you enrol: lectures, readings and practice are free.
  • Paid: Graded assignments and the verified certificate (Certificate $30). Audit access may end after the course closes.

Google is in Tier 2: excellent universities and the companies that build the technology of our institution ranking (88/100). They build what they teach.

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