Working with Notebooks in Vertex AI
Learn Vertex AI Notebooks for machine learning workflows. Master Jupyter-based environments on Google Cloud.
Learn Vertex AI Notebooks for machine learning workflows. Master Jupyter-based environments on Google Cloud.
This course introduces Vertex AI Notebooks, a powerful tool for machine learning workflows on Google Cloud. Learners will explore different types of Vertex AI Notebooks, including Colab Enterprise and Workbench instances, and their unique features. The course covers the entire machine learning process, from data preparation to model deployment and monitoring, all within a unified Jupyter notebook-based environment. Through hands-on exercises, students will learn to create and manage Vertex AI Notebooks, perform exploratory data analysis using BigQuery, and understand the advantages of each notebook type for various ML tasks.
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What you'll learn
Explain Vertex AI Notebook Solutions and their role in machine learning workflows
Describe Vertex AI Colab Enterprise Notebooks and their features
Understand Vertex AI Workbench Notebooks and their applications
Create and manage Vertex AI Notebooks for different ML tasks
Perform exploratory data analysis using BigQuery in Vertex AI Notebooks
Understand the advantages of different notebook types for various ML scenarios
Skills you'll gain
This course includes:
24 Minutes PreRecorded video
1 quiz, 2 hands-on labs
Access on Mobile, Tablet, Desktop
FullTime access
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There is 1 module in this course
This course provides a comprehensive introduction to Vertex AI Notebooks, a powerful tool for machine learning workflows on Google Cloud. The curriculum is designed to give learners a solid understanding of the different types of Vertex AI Notebooks and their applications in the machine learning process. Through a combination of video lectures, readings, and hands-on exercises, students will explore Vertex AI Notebook Solutions, Colab Enterprise notebooks, and Workbench instances. The course emphasizes practical skills, with labs focused on exploratory data analysis using BigQuery in both Colab Enterprise and Workbench environments. By the end of the course, participants will be able to create, manage, and effectively use Vertex AI Notebooks for various stages of the machine learning workflow, from data preparation to model deployment and monitoring.
Working with Notebooks in Vertex AI
Module 1 · 2 Hours to complete
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Instructor
Course Instructor, Technology and Product Planning
Jasmine McNeil is a seasoned manager and course instructor affiliated with Johns Hopkins University, where she leads the Technology and Product Planning course on Coursera. With dual master’s degrees in Business Administration and Management, she specializes in product strategy, agile project management, and human-centered design. Her teaching focuses on guiding learners through the end-to-end process of building digital health products—from ideation and research to deployment—by integrating healthcare technology, stakeholder management, and design thinking. Through insights from industry leaders and real-world case studies, she helps professionals understand how to bring innovative health technology solutions from concept to implementation.
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