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Vertex Pipelines

Qwik Start

Google Cloud Training

This is a self-paced lab that takes place in the Google Cloud console.

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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.

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What's inside

Syllabus

Vertex Pipelines: Qwik Start

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

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Activities

Coming soon We're preparing activities for Vertex Pipelines: Qwik Start. These are activities you can do either before, during, or after a course.

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 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 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 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 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 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 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 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 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 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 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 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 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 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 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 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.

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 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.

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