Master machine learning fundamentals using Google Cloud Platform tools and services for model development and deployment.
Master machine learning fundamentals using Google Cloud Platform tools and services for model development and deployment.
This course is part of multiple programs including Machine Learning on Google Cloud Specialization and Preparing for Google Cloud Certification: Machine Learning Engineer Professional Certificate. You can audit this course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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English
What you'll learn
Master exploratory data analysis techniques
Build and train AutoML models using Vertex AI
Optimize machine learning models using performance metrics
Develop scalable training and evaluation datasets
Implement BigQuery ML solutions
Understand model generalization principles
Skills you'll gain
This course includes:
3 Hours PreRecorded video
6 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 8 modules in this course
This comprehensive course introduces fundamental machine learning concepts and their implementation on Google Cloud Platform. Students learn about data quality improvement, exploratory data analysis, and model development using Vertex AI AutoML and BigQuery ML. The curriculum covers optimization techniques, generalization principles, and practical aspects of machine learning model development and deployment.
Introduction
Module 1 · 0 Minutes to complete
Get to Know Your Data: Improve Data through Exploratory Data Analysis
Module 2 · 3 Hours to complete
Machine Learning in Practice
Module 3 · 3 Hours to complete
Training AutoML Models Using Vertex AI
Module 4 · 57 Minutes to complete
Optimization
Module 6 · 1 Hours to complete
Generalization and Sampling
Module 7 · 47 Minutes to complete
Summary
Module 8 · 2 Hours to complete
Fee Structure
Instructor
Empowering Businesses with Expert Training from Google Cloud
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