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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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Working with Notebooks in Vertex AI

This course includes

2 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

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

Vertex AI
Google Cloud
machine learning
Jupyter notebooks
data analysis
BigQuery
Colab Enterprise
Workbench

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

Fee Structure

Payment options

Financial Aid

Instructor

Google Cloud Training
Google Cloud Training

4.7 rating

86 Reviews

26,85,892 Students

1,554 Courses

Empowering Businesses with Expert Training from Google Cloud

The Google Cloud Training team is tasked with developing, delivering, and evaluating training programs that enable our enterprise customers and partners to effectively utilize our products and solutions. Google Cloud empowers millions of organizations to enhance employee capabilities, improve customer service, and innovate for the future using cutting-edge technology built specifically for the cloud. Our products are designed with a focus on security, reliability, and scalability, covering everything from infrastructure to applications, devices, and hardware. Our dedicated teams are committed to helping customers successfully leverage our technologies to drive their success.

Working with Notebooks in Vertex AI

This course includes

2 Hours

Of Self-paced video lessons

Beginner Level

Completion Certificate

awarded on course completion

2,436

Testimonials

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Frequently asked questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.