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.
Work with Gemini Models in BigQuery
Work with Gemini Models in BigQuery
This course is part of Gemini in BigQuery Specialization
Instructor: Google Cloud Training
Access provided by CSU Sacramento, College of Business
Gain insight into a topic and learn the fundamentals.
Intermediate level
Some related experience required
3 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Recognize the AI capabilities of BigQuery.
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.
Create a solution for leveraging Gemini models in BigQuery with Python notebooks.
Skills you'll gain
Details to know
Shareable certificate
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Assessments
1 assignment
Taught in English
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This course is part of the Gemini in BigQuery Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There is 1 module in this course
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.
What's included
5 videos1 reading1 assignment2 app items
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