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Google Cloud Training
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/b2jrgj/work
What's inside
Syllabus
Work with Gemini Models in BigQuery
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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks, which makes it accessible to learners with different programming backgrounds
Uses a practical use case involving customer relationship management, which makes it relatable to learners in the business field
Designed for learners interested in exploring the intersection of AI/ML and BigQuery, particularly in the context of generative AI tasks
Taught by Google Cloud Training, which has a strong reputation in the field of cloud computing and AI/ML
Covers the workflow of solving a business problem with Gemini models, which is highly relevant to industry practices
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Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Work with Gemini Models in BigQuery with these
activities:
Review Statistical Concepts
Show steps
Review basic statistical concepts to strengthen the foundation for understanding the probabilistic aspects of generative AI models.
Browse courses on
Statistics
Show steps
-
Review probability distributions
-
Practice solving probability problems
-
Understand sampling and estimation
-
Review statistical tests
Explore BigQuery ML Features
Show steps
Complete guided tutorials on BigQuery ML features to familiarize yourself with the platform's capabilities.
Browse courses on
BigQuery
Show steps
-
Follow tutorials on BigQuery ML
-
Experiment with different models
-
Evaluate model performance
Analyze Sales Data Using BigQuery
Show steps
Build a project that leverages BigQuery's capabilities to analyze and visualize sales data. This will reinforce your understanding of using BigQuery for data analysis and visualization.
Show steps
-
Design the data model
-
Load data into BigQuery
-
Transform and aggregate data
-
Visualize data using dashboards
Four other activities
Expand to see all activities and additional details
Show all seven activities
SQL and Python Coding Exercises
Show steps
Solve coding exercises in both SQL and Python to solidify your understanding of Gemini models.
Browse courses on
SQL
Show steps
-
Practice writing SQL queries
-
Practice writing Python code
-
Debug and optimize code
Study Group Discussions
Show steps
Engage in discussions with your peers to clarify concepts and share insights on Gemini models and their applications.
Show steps
-
Attend study group sessions
-
Participate in discussions
-
Share knowledge and resources
Customer Relationship Management Proposal
Show steps
Develop a proposal for a customer relationship management solution using Gemini models. This will demonstrate your ability to apply the course concepts to real-world scenarios.
Browse courses on
Customer Relationship Management
Show steps
-
Present the proposal
-
Define the problem statement
-
Propose a solution using Gemini models
-
Estimate the cost and resources
Gemini Model Implementation Blog Post
Show steps
Write a detailed blog post explaining the implementation of Gemini models for generative AI tasks. This will help you synthesize your understanding and share knowledge with others.
Show steps
-
Research and gather information
-
Write the blog post
-
Edit and refine the content
-
Publish the blog post
Review Statistical Concepts
Show steps
Review basic statistical concepts to strengthen the foundation for understanding the probabilistic aspects of generative AI models.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review probability distributions
- Practice solving probability problems
- Understand sampling and estimation
- Review statistical tests
Explore BigQuery ML Features
Show steps
Complete guided tutorials on BigQuery ML features to familiarize yourself with the platform's capabilities.
Browse courses on
BigQuery
Show steps
Show steps
Show steps
- Follow tutorials on BigQuery ML
- Experiment with different models
- Evaluate model performance
Analyze Sales Data Using BigQuery
Show steps
Build a project that leverages BigQuery's capabilities to analyze and visualize sales data. This will reinforce your understanding of using BigQuery for data analysis and visualization.
Show steps
Show steps
Show steps
- Design the data model
- Load data into BigQuery
- Transform and aggregate data
- Visualize data using dashboards
Four other activities
Expand to see all activities and additional details
Show all seven activities
SQL and Python Coding Exercises
Show steps
Solve coding exercises in both SQL and Python to solidify your understanding of Gemini models.
Browse courses on
SQL
Show steps
Show steps
Show steps
- Practice writing SQL queries
- Practice writing Python code
- Debug and optimize code
Study Group Discussions
Show steps
Engage in discussions with your peers to clarify concepts and share insights on Gemini models and their applications.
Show steps
Show steps
Show steps
- Attend study group sessions
- Participate in discussions
- Share knowledge and resources
Customer Relationship Management Proposal
Show steps
Develop a proposal for a customer relationship management solution using Gemini models. This will demonstrate your ability to apply the course concepts to real-world scenarios.
Browse courses on
Customer Relationship Management
Show steps
Show steps
Show steps
- Present the proposal
- Define the problem statement
- Propose a solution using Gemini models
- Estimate the cost and resources
Gemini Model Implementation Blog Post
Show steps
Write a detailed blog post explaining the implementation of Gemini models for generative AI tasks. This will help you synthesize your understanding and share knowledge with others.
Show steps
Show steps
Show steps
- Research and gather information
- Write the blog post
- Edit and refine the content
- Publish the blog post
Career center
Learners who complete Work with Gemini Models in BigQuery will develop knowledge and skills
that may be useful to these careers:
For more career information including salaries, visit:
OpenCourser.com/course/b2jrgj/work
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Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Session
August 4, 2024
- August 19, 2024
Language
English
Good to know
Provides step-by-step guidance through coding solutions using both SQL queries and Python notebooks, which makes it accessible to learners with different programming backgrounds
Uses a practical use case involving customer relationship management, which makes it relatable to learners in the business field
Designed for learners interested in exploring the intersection of AI/ML and BigQuery, particularly in the context of generative AI tasks
Taught by Google Cloud Training, which has a strong reputation in the field of cloud computing and AI/ML
Covers the workflow of solving a business problem with Gemini models, which is highly relevant to industry practices
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