Data Engineering, Big Data and ML on Google Cloud
Master Google Cloud Platform's data engineering tools and techniques for big data processing, ML implementation, and analytics.
Master Google Cloud Platform's data engineering tools and techniques for big data processing, ML implementation, and analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Data Engineering on Google Cloud Platform Specialization program. You can audit this specific 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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What you'll learn
Design and build data processing systems on Google Cloud Platform
Implement machine learning models using TensorFlow and Cloud ML
Create automated scaling data pipelines for batch and streaming data
Analyze large datasets using Google BigQuery
Develop end-to-end data processing architectures
Skills you'll gain
This course includes:
40 Hours PreRecorded video
Hands-on labs throughout the course
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Modernizing Data Lakes and Data Warehouses with GCP 日本語版
Course 1 · 8 Hours to complete · 6 modules
Building Batch Data Pipelines on GCP
Course 2 · 17 Hours to complete · 7 modules
Resilient Streaming Analytics on GCP (Japanese)
Course 3 · 10 Hours to complete · 8 modules
Smart Analytics & AI on GCP for Data Engineers
Course 4 · 6 Hours to complete · 8 modules
Fee Structure
Payment options
Financial Aid
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