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.
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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.
Details to know
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August 2024
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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
Instructor
Offered by
Recommended if you're interested in Cloud Computing
Amazon Web Services
Coursera Instructor Network
Coursera Instructor Network
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Frequently asked questions
Yes, you can preview the first video and view the syllabus before you enroll. You must purchase the course to access content not included in the preview.
If you decide to enroll in the course before the session start date, you will have access to all of the lecture videos and readings for the course. You’ll be able to submit assignments once the session starts.
Once you enroll and your session begins, you will have access to all videos and other resources, including reading items and the course discussion forum. You’ll be able to view and submit practice assessments, and complete required graded assignments to earn a grade and a Course Certificate.