1 day EN / DE Max 16

Gemini in BigQuery for Data Practitioners

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 also provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks.

€920,00 excl. VAT

Individual scheduling

The courses are held as dedicated group sessions. Once you've booked, we'll coordinate a date that works for your team and send invitations to all participants.

Prerequisites

  • Prior experience with programming languages including SQL and/or Python.
  • Basic knowledge of ML and generative AI.

What you'll learn

  • Define the features of Gemini in BigQuery that aid the datato-AI pipeline.
  • Explore data with Insights and Table Explorer.
  • Develop code with Gemini assistance.
  • Discover and visualize workflow with data canvas.
  • Explain the workflow of using AI/ML models for predictive and
    generative tasks in BigQuery.
  • Create a solution for leveraging Gemini models in BigQuery with SQL queries and Jupyter Notebooks.

Course modules
Gemini on Google Cloud Overview of Gemini on BigQuery ntroduction to course use case
Data exploration and preparation Insights Table Explorer
Gemini for writing code Troubleshooting and testing with Gemini Prompting best practices
Introduction to Data Canvas Data Canvas capabilities Prompting best practices for Data Canvas
BigQuery ML Using Gemini in your SQL queries Gemini in BigQuery Notebooks
Gemini in BigQuery for Data Practitioners