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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
In this lab, you will train, tune, evaluate, explain, and generate batch and online predictions with a BigQuery ML XGBoost model. You will use a Google Analytics 4 dataset from a real mobile application, Flood it!, to determine the likelihood of users returning to the application. You will generate batch predictions with your BigQuery ML model as well as export and deploy it to Vertex AI for online predictions.
Register for this course and see more details by visiting:
OpenCourser.com/course/tbnl3t/deploy
What's inside
Syllabus
Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Builds a strong foundation for beginners by walking through the process of training, tuning, evaluating, explaining, and generating batch and online predictions with a BigQuery ML XGBoost model
Involves hands-on labs in the Google Cloud console, providing learners with practical experience
Relevant to professionals looking to understand and apply BigQuery ML XGBoost in practice
Suitable for individuals with existing foundational knowledge in machine learning
Save this course
Save Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions to your list so you can find it easily later:
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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 Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions with these
activities:
Organize Course Materials
Show steps
Maintain a well-organized set of notes and materials throughout the course, which will help you effectively review and retain the information.
Browse courses on
Note-Taking
Show steps
-
Create a dedicated notebook or digital folder for the course
-
Take notes during lectures and while reading the course materials
-
Organize notes by topic or module
-
Review notes regularly
Review Machine Learning Concepts
Show steps
Strengthen your foundation in machine learning by reviewing key concepts, which will help you better understand the material covered in this course.
Browse courses on
Machine Learning
Show steps
-
Review the course materials from a previous course on machine learning
-
Read articles and watch videos on machine learning
-
Take practice quizzes and complete exercises
Practice creating BigQuery ML models
Show steps
Train your ability to create and configure BigQuery ML models, which will help you complete the end-of-course assessment.
Browse courses on
BigQuery ML
Show steps
-
Create a BigQuery ML model using Python
-
Tune the model's hyperparameters
-
Evaluate the model's performance
Three other activities
Expand to see all activities and additional details
Show all six activities
Tutorial: Deploy BigQuery ML models to Vertex AI for Online Predictions
Show steps
Expand your knowledge of deploying BigQuery ML models to Vertex AI for online predictions, which will help you complete the end-of-course assessment.
Browse courses on
Vertex AI
Show steps
-
Review the Vertex AI documentation on deploying BigQuery ML models
-
Follow the step-by-step instructions in the tutorial
-
Deploy your own BigQuery ML model to Vertex AI
Kaggle Competition: Predict Customer Churn
Show steps
Participate in a Kaggle competition focused on predicting customer churn, which will provide you with hands-on experience and improve your problem-solving skills.
Browse courses on
Kaggle Competitions
Show steps
-
Join the Kaggle competition
-
Download the competition dataset
-
Develop a model to predict customer churn
-
Submit your predictions
Project: Build a mobile app to predict user churn
Show steps
Apply the concepts learned in this course to a real-world scenario by building a mobile app that predicts user churn. This project will enhance your practical skills and deepen your understanding of the course material.
Browse courses on
Mobile Application Development
Show steps
-
Design the user interface and user experience
-
Integrate the BigQuery ML model for churn prediction
-
Develop the mobile application
-
Deploy the mobile application to a mobile app store
Organize Course Materials
Show steps
Maintain a well-organized set of notes and materials throughout the course, which will help you effectively review and retain the information.
Browse courses on
Note-Taking
Show steps
Show steps
Show steps
- Create a dedicated notebook or digital folder for the course
- Take notes during lectures and while reading the course materials
- Organize notes by topic or module
- Review notes regularly
Review Machine Learning Concepts
Show steps
Strengthen your foundation in machine learning by reviewing key concepts, which will help you better understand the material covered in this course.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Review the course materials from a previous course on machine learning
- Read articles and watch videos on machine learning
- Take practice quizzes and complete exercises
Practice creating BigQuery ML models
Show steps
Train your ability to create and configure BigQuery ML models, which will help you complete the end-of-course assessment.
Browse courses on
BigQuery ML
Show steps
Show steps
Show steps
- Create a BigQuery ML model using Python
- Tune the model's hyperparameters
- Evaluate the model's performance
Three other activities
Expand to see all activities and additional details
Show all six activities
Tutorial: Deploy BigQuery ML models to Vertex AI for Online Predictions
Show steps
Expand your knowledge of deploying BigQuery ML models to Vertex AI for online predictions, which will help you complete the end-of-course assessment.
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Review the Vertex AI documentation on deploying BigQuery ML models
- Follow the step-by-step instructions in the tutorial
- Deploy your own BigQuery ML model to Vertex AI
Kaggle Competition: Predict Customer Churn
Show steps
Participate in a Kaggle competition focused on predicting customer churn, which will provide you with hands-on experience and improve your problem-solving skills.
Browse courses on
Kaggle Competitions
Show steps
Show steps
Show steps
- Join the Kaggle competition
- Download the competition dataset
- Develop a model to predict customer churn
- Submit your predictions
Project: Build a mobile app to predict user churn
Show steps
Apply the concepts learned in this course to a real-world scenario by building a mobile app that predicts user churn. This project will enhance your practical skills and deepen your understanding of the course material.
Browse courses on
Mobile Application Development
Show steps
Show steps
Show steps
- Design the user interface and user experience
- Integrate the BigQuery ML model for churn prediction
- Develop the mobile application
- Deploy the mobile application to a mobile app store
Career center
Learners who complete Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions will develop knowledge and skills
that may be useful to these careers:
Data Scientist
Data Scientist
As a Data Scientist, you will use your skills in machine learning and data analysis to help businesses make better decisions. This course can help you build the foundation you need to succeed in this role by providing you with hands-on experience with BigQuery ML, a powerful tool for training and deploying machine learning models.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design and build machine learning systems. This course will introduce you to the concepts and techniques used in machine learning, and provide you with hands-on experience with BigQuery ML. By taking this course, you can gain the skills you need to start a career in machine learning engineering.
Data Analyst
Data Analyst
Data Analysts use data to help businesses understand their customers and make better decisions. This course will provide you with the skills you need to succeed in this role, including experience with BigQuery ML, a powerful tool for analyzing data.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify opportunities for improvement.
Product Manager
Product Manager
Product Managers are responsible for developing and launching new products. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify customer needs.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify target customers.
Sales Manager
Sales Manager
Sales Managers are responsible for leading and motivating sales teams. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify sales opportunities.
Customer Success Manager
Customer Success Manager
Customer Success Managers are responsible for ensuring that customers are satisfied with their products or services. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify customer needs.
Operations Manager
Operations Manager
Operations Managers are responsible for overseeing the day-to-day operations of a business. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify inefficiencies.
Financial Analyst
Financial Analyst
Financial Analysts are responsible for analyzing financial data and making recommendations to investors. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify investment opportunities.
Risk Analyst
Risk Analyst
Risk Analysts are responsible for identifying and mitigating risks. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify potential risks.
Compliance Analyst
Compliance Analyst
Compliance Analysts are responsible for ensuring that businesses comply with laws and regulations. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify potential compliance risks.
Auditor
Auditor
Auditors are responsible for examining financial records to ensure accuracy and compliance. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify potential accounting errors.
Tax Analyst
Tax Analyst
Tax Analysts are responsible for preparing tax returns and advising clients on tax laws. This course can help you build the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify potential tax savings.
Actuary
Actuary
Actuaries are responsible for assessing and managing risk. This course may be helpful in building the skills you need to succeed in this role by providing you with experience in using BigQuery ML to analyze data and identify potential risks.
For more career information including salaries, visit:
OpenCourser.com/course/tbnl3t/deploy
Reading list
We've selected 11 books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Deploy a BigQuery ML Customer Churn Classifier to Vertex AI for Online Predictions.
Save
Provides a comprehensive overview of deep learning, covering the fundamental concepts, architectures, algorithms, and applications. It valuable reference for anyone interested in learning more about deep learning.
Provides a hands-on introduction to data science, covering the essential concepts, techniques, and tools. It great resource for anyone who wants to learn more about data science.
Provides a comprehensive overview of data science, covering the fundamental concepts, techniques, and applications. It great resource for anyone who wants to learn more about data science.
Provides a comprehensive overview of Python for data analysis, covering the essential concepts, techniques, and tools. It great resource for anyone who wants to learn more about using Python for data analysis.
Provides a comprehensive overview of machine learning with Python, covering the essential concepts, techniques, and tools. It great resource for anyone who wants to learn more about using Python for machine learning.
Provides a comprehensive overview of deep learning with Python, covering the essential concepts, techniques, and tools. It great resource for anyone who wants to learn more about using Python for deep learning.
Provides a comprehensive overview of big data analytics with Hadoop, covering the essential concepts, techniques, and tools. It great resource for anyone who wants to learn more about using Hadoop for big data analytics.
Save
Provides a comprehensive overview of data mining, covering the fundamental concepts, techniques, and applications. It valuable reference for anyone interested in learning more about data mining.
Provides a comprehensive overview of machine learning from a probabilistic perspective, covering the essential concepts, techniques, and applications. It valuable reference for anyone interested in learning more about machine learning.
Provides a comprehensive overview of statistical learning, covering the fundamental concepts, techniques, and applications. It valuable reference for anyone interested in learning more about statistical learning.
Provides a comprehensive overview of machine learning for dummies, covering the essential concepts, techniques, and applications. It great resource for anyone who wants to learn more about machine learning.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/tbnl3t/deploy
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Builds a strong foundation for beginners by walking through the process of training, tuning, evaluating, explaining, and generating batch and online predictions with a BigQuery ML XGBoost model
Involves hands-on labs in the Google Cloud console, providing learners with practical experience
Relevant to professionals looking to understand and apply BigQuery ML XGBoost in practice
Suitable for individuals with existing foundational knowledge in machine learning
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