Working with Notebooks in Vertex AI
Master Vertex AI Notebooks: Unify ML Workflows with Google Cloud
- Master Vertex AI Notebooks for seamless ML workflow integration
- Use BigQuery and notebooks for real-world EDA tasks
- Platform Flexibility
- Workflow Efficiency
- Align with industry
- Build a base for specialized roles in AI development or cloud engineering
- Prepare for more advanced Google Cloud certifications in AI
What you will learn
This course, available on Google Cloud Skills Boost, provides a foundational understanding of Vertex AI Notebooks, a Jupyter-based environment designed to streamline the end-to-end machine learning workflow. Learners explore the features and use cases of two key notebook solutions: Vertex AI Colab Enterprise and Vertex AI Workbench Instances. Through guided labs and video tutorials, participants gain hands-on experience in creating, managing, and leveraging notebooks for tasks like exploratory data analysis (EDA) using BigQuery. Ideal for data scientists and ML engineers, the course emphasizes practical skills for unifying data preparation, model development, and deployment within Google Cloud's AI ecosystem.
Google's Beginner-friendly Working with Notebooks in Vertex AI course Outline
Learn the Working with Notebooks in Vertex AI
Unlock the full potential of Jupyter notebooks in Google Cloud's Vertex AI! The Working with Notebooks in Vertex AI course teaches you to streamline your ML workflow—from data exploration with BigQuery to model deployment. Whether you prefer collaborative Colab Enterprise or customizable Workbench Instances, this course has hands-on labs to fit your needs. Ready to simplify your ML projects? Click to start mastering Vertex AI Notebooks today!
Start your journey today:
Course Structure Includes:
Introduction to Vertex AI Notebooks:
Overview of notebook solutions and their roles in ML workflows.
- Vertex AI Colab Enterprise:
- Collaborative features, integration with BigQuery, and EDA applications.
- Vertex AI Workbench Instances:
- Custom environments for advanced configurations and workflow automation.
- Hands-On Labs:
- Lab 1: Exploratory Data Analysis using BigQuery and Colab Enterprise.
- Lab 2: Exploratory Data Analysis using BigQuery and Workbench Instances.
- Assessment:
- Quiz to validate understanding of notebook types and management.
Training Options
Self Paced Learning
- Lifelong access to high-quality content
- Curated by industry experts
- Customized learning progress
- 24/7 learner assistance and support
- Follow the latest technology trends
Exam Dump
- 100% Real Exam Practice Tests
- 100% Verified Exam Questions & Answers
- 100% Guarantee Passing Rate
- Average 7 Days to Practice & Pass
Description
Learn to manage Vertex AI Notebooks for end-to-end ML workflows. Explore Colab Enterprise, Workbench, and BigQuery integration through hands-on labs and quizzes.
Pre-requisites
No Experience needed.
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