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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.
Course Cost
₹ 2,699
Beginner
Skill Level
2 Hours
Self-paced lessons
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.
English
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
Navigate the Vertex AI platform for machine learning projects
Apply Vertex AI Notebooks to real-world data analysis and ML tasks
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
Fee Structure
Payment options
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