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Work with Gemini Models in BigQuery

Learn to leverage Gemini models in BigQuery for AI tasks. Master SQL queries and Python notebooks for customer review analysis.

Learn to leverage Gemini models in BigQuery for AI tasks. Master SQL queries and Python notebooks for customer review analysis.

This course provides a comprehensive introduction to using Gemini models in BigQuery for generative AI tasks. Focusing on a practical customer relationship management use case, learners will master the workflow of solving business problems with AI/ML models. The course offers step-by-step guidance for implementing solutions using both SQL queries and Python notebooks, enabling participants to effectively analyze customer reviews and sentiment. By the end of the course, students will be able to recognize BigQuery's AI capabilities, understand the process of using AI/ML models for predictive and generative tasks, and create solutions leveraging Gemini models in BigQuery using both SQL and Python.

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Work with Gemini Models in BigQuery

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,436

Audit For Free

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

  • Apply AI techniques to analyze customer reviews and sentiment

  • Understand the practical applications of generative AI in customer relationship management

Skills you'll gain

BigQuery
Gemini models
AI/ML
SQL
Python
sentiment analysis
CRM
data analysis

This course includes:

34 Minutes PreRecorded video

1 quiz, 2 hands-on labs

Access on Mobile, Tablet, Desktop

FullTime access

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There is 1 module in this course

This course focuses on leveraging Gemini models in BigQuery for generative AI tasks, specifically in the context of customer relationship management. Participants will learn the workflow of solving business problems using AI/ML models through a practical use case involving customer review analysis. The course provides comprehensive guidance on implementing solutions using both SQL queries and Python notebooks, enabling learners to effectively analyze customer sentiment and derive valuable insights. By mastering these techniques, students will be equipped to apply advanced AI capabilities to real-world business scenarios, enhancing their ability to make data-driven decisions and improve customer relationships.

Work with Gemini Models in BigQuery

Module 1 · 3 Hours to complete

Fee Structure

Payment options

Financial Aid

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,729 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Work with Gemini Models in BigQuery

This course includes

3 Hours

Of Self-paced video lessons

Intermediate Level

Completion Certificate

awarded on course completion

2,436

Audit For Free

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.