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Google Cloud Training
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
Read more
This is a self-paced lab that takes place in the Google Cloud console.
In this lab you will create ML Pipelines using Vertex AI. Pipelines help you automate and reproduce your ML workflow. Vertex AI integrates the ML offerings across Google Cloud into a seamless development experience. Previously, models trained with AutoML and custom models were accessible via separate services. Vertex AI combines both into a single API, along with other new products. Vertex AI also includes a variety of MLOps products, like Vertex Pipelines. In this lab, you will learn how to create and run ML pipelines with Vertex Pipelines.
Register for this course and see more details by visiting:
OpenCourser.com/course/uy2juk/vertex
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What's inside
Syllabus
Vertex Pipelines: Qwik Start
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Provides a self-paced learning experience
Teaches the basics of ML Pipelines using Vertex AI
Provides hands-on experience through labs
Taught by Google Cloud Training, known for their expertise in cloud computing
Part of a series on AI and ML, indicating a comprehensive approach
Suitable for beginners with some experience in ML fundamentals
Save this course
Save Vertex Pipelines: 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 Pipelines: Qwik Start with these
activities:
Review Google Cloud Essentials
Show steps
Prepare for this course by reviewing the fundamentals of Google Cloud, including its services and products.
Browse courses on
Google Cloud Fundamentals
Show steps
-
Read through the Google Cloud Fundamentals documentation.
-
Complete the Google Cloud Essentials Quest.
Create a Personalized Note Compilation
Show steps
Organize and review your notes, assignments, and resources to enhance your understanding of Vertex Pipelines.
Show steps
-
Gather all relevant materials from the course
-
Organize the materials logically
-
Annotate and summarize key concepts
Attend 'Vertex AI for Beginners'
Show steps
Get a hands-on introduction to Vertex AI and its features at an industry-run workshop.
Show steps
-
Find a relevant workshop in your area
-
Register and attend the workshop
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Vertex Pipelines Practice Exercises
Show steps
Sharpen your skills in creating and managing ML Pipelines by completing practice exercises provided by Google Cloud.
Browse courses on
ML Pipelines
Show steps
-
Access the Vertex Pipelines Practice Exercises
-
Attempt and complete the exercises
-
Review your results
Join a Study Group on Vertex Pipelines
Show steps
Engage with peers in a study group to discuss concepts, share knowledge, and work through challenges related to Vertex Pipelines.
Browse courses on
ML Pipelines
Show steps
-
Find or create a study group focused on Vertex Pipelines
-
Attend regular study sessions
-
Collaborate on projects
Create your own ML Pipeline
Show steps
Follow a guided tutorial to build your own ML Pipeline using Vertex Pipelines, reinforcing the concepts covered in the course.
Browse courses on
ML Pipelines
Show steps
-
Find a beginner-friendly tutorial on creating ML Pipelines
-
Gather the necessary resources
-
Follow the tutorial step-by-step
-
Test and evaluate your pipeline
Develop a Personal Machine Learning Project
Show steps
Apply your learnings by initiating a personal machine learning project, allowing you to practice and deepen your understanding.
Browse courses on
Machine Learning
Show steps
-
Identify a problem or opportunity that can be addressed with machine learning
-
Gather and prepare the necessary data
-
Choose and train a machine learning model
-
Evaluate and deploy your model
Build a Real-World ML Pipeline using Vertex Pipelines
Show steps
Apply your learnings by building a complete ML Pipeline for a specific use case, showcasing your proficiency in using Vertex Pipelines.
Browse courses on
ML Pipelines
Show steps
-
Identify a real-world problem that can be solved with an ML Pipeline
-
Design the architecture of your pipeline
-
Gather and preprocess the necessary data
-
Create and train your ML model
-
Deploy your pipeline and evaluate its performance
Review Google Cloud Essentials
Show steps
Prepare for this course by reviewing the fundamentals of Google Cloud, including its services and products.
Browse courses on
Google Cloud Fundamentals
Show steps
Show steps
Show steps
- Read through the Google Cloud Fundamentals documentation.
- Complete the Google Cloud Essentials Quest.
Create a Personalized Note Compilation
Show steps
Organize and review your notes, assignments, and resources to enhance your understanding of Vertex Pipelines.
Show steps
Show steps
Show steps
- Gather all relevant materials from the course
- Organize the materials logically
- Annotate and summarize key concepts
Attend 'Vertex AI for Beginners'
Show steps
Get a hands-on introduction to Vertex AI and its features at an industry-run workshop.
Show steps
Show steps
Show steps
- Find a relevant workshop in your area
- Register and attend the workshop
Five other activities
Expand to see all activities and additional details
Show all eight activities
Complete Vertex Pipelines Practice Exercises
Show steps
Sharpen your skills in creating and managing ML Pipelines by completing practice exercises provided by Google Cloud.
Browse courses on
ML Pipelines
Show steps
Show steps
Show steps
- Access the Vertex Pipelines Practice Exercises
- Attempt and complete the exercises
- Review your results
Join a Study Group on Vertex Pipelines
Show steps
Engage with peers in a study group to discuss concepts, share knowledge, and work through challenges related to Vertex Pipelines.
Browse courses on
ML Pipelines
Show steps
Show steps
Show steps
- Find or create a study group focused on Vertex Pipelines
- Attend regular study sessions
- Collaborate on projects
Create your own ML Pipeline
Show steps
Follow a guided tutorial to build your own ML Pipeline using Vertex Pipelines, reinforcing the concepts covered in the course.
Browse courses on
ML Pipelines
Show steps
Show steps
Show steps
- Find a beginner-friendly tutorial on creating ML Pipelines
- Gather the necessary resources
- Follow the tutorial step-by-step
- Test and evaluate your pipeline
Develop a Personal Machine Learning Project
Show steps
Apply your learnings by initiating a personal machine learning project, allowing you to practice and deepen your understanding.
Browse courses on
Machine Learning
Show steps
Show steps
Show steps
- Identify a problem or opportunity that can be addressed with machine learning
- Gather and prepare the necessary data
- Choose and train a machine learning model
- Evaluate and deploy your model
Build a Real-World ML Pipeline using Vertex Pipelines
Show steps
Apply your learnings by building a complete ML Pipeline for a specific use case, showcasing your proficiency in using Vertex Pipelines.
Browse courses on
ML Pipelines
Show steps
Show steps
Show steps
- Identify a real-world problem that can be solved with an ML Pipeline
- Design the architecture of your pipeline
- Gather and preprocess the necessary data
- Create and train your ML model
- Deploy your pipeline and evaluate its performance
Career center
Learners who complete Vertex Pipelines: Qwik Start will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers lead and execute the development of machine learning models. They take a business problem or opportunity and turn it into a deployable data product. This course on Vertex Pipelines: Qwik Start, will help you build a foundation in the skills needed to become a Machine Learning Engineer. Vertex Pipelines, a tool provided by Google Cloud, will help you automate and reproduce your ML workflow.
Data Scientist
Data Scientist
Data Scientists work with large amounts of data to extract meaningful insights. They use various tools and techniques, including statistical modeling and machine learning. This course on Vertex Pipelines: Qwik Start, may be useful to Data Scientists as they will be able to automate and reproduce their ML workflow using Vertex Pipelines.
Data Analyst
Data Analyst
Data Analysts analyze and interpret data to help businesses make better decisions. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Data Analyst's typical responsibilities, they may find the course useful for expanding their skillset and understanding of machine learning.
Software Engineer
Software Engineer
Software Engineers use their knowledge of programming and software development to design, build, and maintain computer software. While the primary focus of this course on Vertex Pipelines: Qwik Start is on machine learning pipelines, the skills learned can be applicable to Software Engineers working on data-driven projects.
Product Manager
Product Manager
Product Managers are responsible for the success of a product or service. They work with various stakeholders to define the product vision and roadmap, and they ensure that the product meets the needs of its users. This course on Vertex Pipelines: Qwik Start may be useful for Product Managers who want to develop a better understanding of machine learning and how it can be used to improve their products.
Business Analyst
Business Analyst
Business Analysts understand the needs of businesses and translate them into technical requirements. They work with various stakeholders to ensure that business goals are met. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Business Analyst's typical responsibilities, they may find the course useful for understanding how machine learning can be used to solve business problems.
Project Manager
Project Manager
Project Managers plan, execute, and close projects. They work with various stakeholders to ensure that projects are completed on time, within budget, and to the required quality. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Project Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve project outcomes.
Marketing Manager
Marketing Manager
Marketing Managers plan and execute marketing campaigns to promote products or services. They work with various stakeholders to ensure that marketing goals are met. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Marketing Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve marketing campaigns.
Sales Manager
Sales Manager
Sales Managers lead and motivate sales teams to achieve sales targets. They work with various stakeholders to ensure that sales goals are met. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Sales Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve sales performance.
Operations Manager
Operations Manager
Operations Managers oversee the day-to-day operations of a business. They work with various stakeholders to ensure that the business runs smoothly and efficiently. While this course on Vertex Pipelines: Qwik Start may not be directly related to an Operations Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve operational efficiency.
Financial Analyst
Financial Analyst
Financial Analysts analyze financial data to make recommendations on investments. They work with various stakeholders to ensure that financial goals are met. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Financial Analyst's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve investment decisions.
Human Resources Manager
Human Resources Manager
Human Resources Managers oversee the human resources department of a business. They work with various stakeholders to ensure that the business has the right people in the right roles. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Human Resources Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve HR processes.
Legal Counsel
Legal Counsel
Legal Counsel provide legal advice to businesses. They work with various stakeholders to ensure that the business complies with all applicable laws and regulations. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Legal Counsel's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve legal research and analysis.
Customer Success Manager
Customer Success Manager
Customer Success Managers work with customers to ensure that they are successful in using a product or service. They work with various stakeholders to ensure that customer needs are met. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Customer Success Manager's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve customer satisfaction.
Technical Writer
Technical Writer
Technical Writers create and maintain technical documentation. They work with various stakeholders to ensure that documentation is clear and accurate. While this course on Vertex Pipelines: Qwik Start may not be directly related to a Technical Writer's typical responsibilities, they may find the course useful for understanding how machine learning can be used to improve the quality of technical documentation.
For more career information including salaries, visit:
OpenCourser.com/course/uy2juk/vertex
Reading list
We've selected nine 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 Pipelines: Qwik Start.
Provides a hands-on guide to building and deploying ML models using Python. It covers topics such as data preparation, feature engineering, and model selection, making it a valuable resource for anyone looking to get started with ML.
Provides a comprehensive overview of machine learning using R, covering topics such as data preparation, feature engineering, and model selection. It valuable resource for anyone looking to learn about machine learning using R.
Provides a comprehensive overview of deep learning using Python and TensorFlow, covering topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks. It valuable resource for anyone looking to learn about deep learning using Python and TensorFlow.
Provides a comprehensive overview of machine learning algorithms, covering topics such as supervised learning, unsupervised learning, and reinforcement learning. It valuable resource for anyone looking to learn about the different types of machine learning algorithms.
Provides a hands-on guide to building and deploying ML models using popular Python libraries such as Scikit-Learn, Keras, and TensorFlow. It covers topics such as data preparation, feature engineering, and model selection, making it a valuable resource for anyone looking to get started with ML.
Provides a comprehensive overview of machine learning using Python, covering topics such as data preparation, feature engineering, and model selection. It valuable resource for anyone looking to learn about machine learning using Python.
Provides a comprehensive overview of data science, covering topics such as data cleaning, data analysis, and data visualization. It valuable resource for anyone looking to get a broad understanding of data science.
Provides a comprehensive overview of deep learning, a subset of machine learning that has achieved state-of-the-art results in many domains. It covers topics such as convolutional neural networks, recurrent neural networks, and generative adversarial networks, making it a valuable resource for anyone looking to learn about deep learning.
Provides a very high-level overview of ML, making it a good choice for beginners who are looking to learn about the basics of ML.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/uy2juk/vertex
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Effort
1 hour 30 minutes
Level
Intermediate
Via
Coursera
Institution
Google Cloud
Instructor
Google Cloud Training
Language
English
Good to know
Provides a self-paced learning experience
Teaches the basics of ML Pipelines using Vertex AI
Provides hands-on experience through labs
Taught by Google Cloud Training, known for their expertise in cloud computing
Part of a series on AI and ML, indicating a comprehensive approach
Suitable for beginners with some experience in ML fundamentals
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