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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 use BigQuery for data processing and exploratory data analysis, and the Vertex AI platform to train and deploy a custom TensorFlow Regressor model to predict customer lifetime value (CLV). The goal of the lab is to introduce to Vertex AI through a high value real world use case - predictive CLV. Starting with a local BigQuery and TensorFlow workflow, you will progress toward training and deploying your model in the cloud with Vertex AI.
Register for this course and see more details by visiting:
OpenCourser.com/course/a687fw/vertex
What's inside
Syllabus
Vertex AI: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Introduces learners to Google Cloud Platform's most popular offerings for data analytics and machine learning - Bigquery, Vertext AI, and TensorFlow, which are industry-standard tools for their respective domains
This course provides hands-on experience with core concepts of data cleaning, analysis, model training and deployment in a cloud environment
Taught by Google Cloud Training, the official training arm of Google which develops and delivers Google Cloud training courses
Save this course
Save Vertex AI: Qwik Start 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 Vertex AI: Qwik Start with these
activities:
Review BigQuery Querying
Show steps
Begin with foundational knowledge of querying with Bigquery before taking this course to be better prepared.
Browse courses on
Data Querying
Show steps
-
Review documentation on BigQuery Standard SQL
Review TensorFlow Basics
Show steps
Brush up on your TensorFlow skills to be better prepared for this course.
Browse courses on
TensorFlow
Show steps
-
Review the TensorFlow documentation
-
Build a simple TensorFlow model
Practice BigQuery Standard SQL Queries
Show steps
Practice with the different types of queries that can be written in BigQuery's Standard SQL to ensure you're ready for the material covered in this course.
Browse courses on
Data Querying
Show steps
-
Create a new BigQuery dataset
-
Import a dataset into your BigQuery dataset
-
Write queries to retrieve data from your dataset
Five other activities
Expand to see all activities and additional details
Show all eight activities
Study Group for Vertex AI and BigQuery
Show steps
Join a study group to discuss the concepts you're learning in this course with other students.
Show steps
-
Find other students who are taking this course
-
Schedule regular study sessions
-
Help each other with difficult concepts
Build a Machine Learning Model Using BigQuery and TensorFlow
Show steps
Apply the concepts you learn in this course by using Vertex AI to build your own machine learning model.
Browse courses on
Machine Learning
Show steps
-
Gather the data you will use to train your model
-
Create a Vertex AI project
-
Create a TensorFlow model
-
Train your model
-
Deploy your model
Advanced Topics in Vertex AI and BigQuery
Show steps
Explore advanced topics in Vertex AI and BigQuery to deepen your understanding of the material covered in this course.
Browse courses on
Vertex AI
Show steps
-
Find tutorials on Vertex AI and BigQuery
-
Work through the tutorials
-
Use the knowledge you gain to improve your Vertex AI and BigQuery skills
Predictive Customer Lifetime Value (CLV) Analysis
Show steps
Practice what you're learning by building a predictive CLV analysis.
Browse courses on
Customer Analysis
Show steps
-
Gather data on your customers
-
Use Vertex AI to build a predictive model
-
Use the model to predict the CLV of your customers
-
Use the insights from your analysis to improve your business strategies
Write a Report on Your Vertex AI and BigQuery Project
Show steps
Document your Vertex AI and BigQuery project by writing a detailed report.
Browse courses on
Vertex AI
Show steps
-
Describe the project you built
-
Discuss the challenges you faced
-
Share the results of the project
-
Reflect on what you learned
Review BigQuery Querying
Show steps
Begin with foundational knowledge of querying with Bigquery before taking this course to be better prepared.
Browse courses on
Data Querying
Show steps
Show steps
Show steps
- Review documentation on BigQuery Standard SQL
Review TensorFlow Basics
Show steps
Brush up on your TensorFlow skills to be better prepared for this course.
Browse courses on
TensorFlow
Show steps
Show steps
Show steps
- Review the TensorFlow documentation
- Build a simple TensorFlow model
Practice BigQuery Standard SQL Queries
Show steps
Practice with the different types of queries that can be written in BigQuery's Standard SQL to ensure you're ready for the material covered in this course.
Browse courses on
Data Querying
Show steps
Show steps
Show steps
- Create a new BigQuery dataset
- Import a dataset into your BigQuery dataset
- Write queries to retrieve data from your dataset
Five other activities
Expand to see all activities and additional details
Show all eight activities
Study Group for Vertex AI and BigQuery
Show steps
Join a study group to discuss the concepts you're learning in this course with other students.
Show steps
Show steps
Show steps
- Find other students who are taking this course
- Schedule regular study sessions
- Help each other with difficult concepts
Build a Machine Learning Model Using BigQuery and TensorFlow
Show steps
Apply the concepts you learn in this course by using Vertex AI to build your own machine learning model.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Gather the data you will use to train your model
- Create a Vertex AI project
- Create a TensorFlow model
- Train your model
- Deploy your model
Advanced Topics in Vertex AI and BigQuery
Show steps
Explore advanced topics in Vertex AI and BigQuery to deepen your understanding of the material covered in this course.
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Find tutorials on Vertex AI and BigQuery
- Work through the tutorials
- Use the knowledge you gain to improve your Vertex AI and BigQuery skills
Predictive Customer Lifetime Value (CLV) Analysis
Show steps
Practice what you're learning by building a predictive CLV analysis.
Browse courses on
Customer Analysis
Show steps
Show steps
Show steps
- Gather data on your customers
- Use Vertex AI to build a predictive model
- Use the model to predict the CLV of your customers
- Use the insights from your analysis to improve your business strategies
Write a Report on Your Vertex AI and BigQuery Project
Show steps
Document your Vertex AI and BigQuery project by writing a detailed report.
Browse courses on
Vertex AI
Show steps
Show steps
Show steps
- Describe the project you built
- Discuss the challenges you faced
- Share the results of the project
- Reflect on what you learned
Career center
Learners who complete Vertex AI: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Big Data Engineer
Big Data Engineer
As a Big Data Engineer, you will design and manage large-scale data systems to process and analyze vast amounts of data. This Vertex AI: Qwik Start course can help build a foundation for this role by teaching you how to use BigQuery for data processing and exploratory data analysis, as well as how to train and deploy machine learning models using Vertex AI. These skills are essential for building and maintaining data-driven systems that can provide valuable insights for businesses.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and deploy machine learning models to solve business problems. The Vertex AI: Qwik Start course can provide a solid understanding of how to use Vertex AI to train and deploy your own machine learning models. This course will help you build a portfolio of machine learning projects that you can showcase to potential employers.
Data Scientist
Data Scientist
Data Scientists use data to understand and solve business problems. The Vertex AI: Qwik Start course can help you build a strong foundation in data science by teaching you how to use BigQuery for data processing and exploratory data analysis, as well as how to train and deploy machine learning models using Vertex AI. These skills are in high demand in the job market, and this course can help you prepare for a successful career in data science.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make better decisions. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use BigQuery for data processing and exploratory data analysis. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in data analysis.
Business Analyst
Business Analyst
Business Analysts help businesses understand their needs and develop solutions to improve their operations. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to understand business problems and develop data-driven solutions. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in business analysis.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software systems. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use Vertex AI to train and deploy machine learning models. This course will also introduce you to the Google Cloud platform, which can be used to build and deploy software systems at scale.
Cloud Architect
Cloud Architect
Cloud Architects design and manage cloud computing systems. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use Vertex AI to train and deploy machine learning models on the Google Cloud platform. This course will also introduce you to other Google Cloud services that can be used to build and manage cloud computing systems.
DevOps Engineer
DevOps Engineer
DevOps Engineers work to bridge the gap between development and operations teams. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use Vertex AI to automate the deployment and management of machine learning models. This course will also introduce you to other Google Cloud services that can be used to build and manage cloud computing systems.
Product Manager
Product Manager
Product Managers are responsible for the development and launch of new products. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to understand customer needs and develop data-driven products. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in product development.
Marketing Manager
Marketing Manager
Marketing Managers are responsible for developing and executing marketing campaigns. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to understand customer behavior and develop data-driven marketing campaigns. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in marketing.
Sales Manager
Sales Manager
Sales Managers are responsible for leading sales teams and driving revenue. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to understand customer needs and develop data-driven sales strategies. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in sales.
Financial Analyst
Financial Analyst
Financial Analysts use data to make investment decisions. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to analyze financial data and develop data-driven investment strategies. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in financial analysis.
Risk Manager
Risk Manager
Risk Managers are responsible for identifying and mitigating risks. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to analyze risks and develop data-driven risk management strategies. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in risk management.
Compliance Manager
Compliance Manager
Compliance Managers are responsible for ensuring that organizations comply with laws and regulations. The Vertex AI: Qwik Start course can help you build the skills you need to succeed in this role by teaching you how to use data to analyze compliance risks and develop data-driven compliance strategies. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in compliance management.
Human Resources Manager
Human Resources Manager
Human Resources Managers are responsible for managing the human resources of an organization. The Vertex AI: Qwik Start course may be useful for this role by teaching you how to use data to analyze employee data and develop data-driven human resources strategies. This course will also introduce you to Vertex AI, which can be used to automate many of the tasks involved in human resources management.
For more career information including salaries, visit:
OpenCourser.com/course/a687fw/vertex
Reading list
We've selected eight 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
Vertex AI: Qwik Start.
A comprehensive guide to machine learning with TensorFlow 2.0, covering concepts, practical examples, and implementation details. Provides a strong foundation for the course's focus on Vertex AI.
Covers the fundamentals of deep learning, including neural networks, convolutional neural networks, and recurrent neural networks. Provides a good overview for those new to the field.
A practical guide to machine learning with Python, covering a wide range of techniques and applications. Provides hands-on examples and exercises to reinforce the course's concepts.
A classic textbook on statistical learning, providing a comprehensive overview of fundamental concepts and algorithms. Offers a theoretical foundation for the course's applied machine learning techniques.
Covers advanced techniques for data analysis and machine learning with Apache Spark. Provides a solid foundation for leveraging Spark in the course's Vertex AI platform.
Focuses on understanding and explaining the predictions of machine learning models. Helps learners develop a deeper understanding of model behavior and improve model interpretability.
Provides an overview of machine learning with R, covering data preprocessing, model training, evaluation, and interpretation. Offers a different perspective from the course's focus on Python.
Save
A gentle introduction to machine learning concepts and their practical applications. Serves as a good starting point for learners with limited prior knowledge in the field.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/a687fw/vertex
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Effort
1.5 hours
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Introduces learners to Google Cloud Platform's most popular offerings for data analytics and machine learning - Bigquery, Vertext AI, and TensorFlow, which are industry-standard tools for their respective domains
This course provides hands-on experience with core concepts of data cleaning, analysis, model training and deployment in a cloud environment
Taught by Google Cloud Training, the official training arm of Google which develops and delivers Google Cloud training courses
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