Master AWS-based data engineering from ingestion to serving. Build scalable pipelines for analytics and ML.
Master AWS-based data engineering from ingestion to serving. Build scalable pipelines for analytics and ML.
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 DeepLearning.AI Data Engineering Professional Certificate 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
Develop comprehensive understanding of data engineering lifecycle
Build end-to-end batch and streaming pipelines on AWS
Design scalable data storage architectures
Implement data transformations for analytics and ML
Apply security and DataOps principles
Orchestrate and automate data pipelines
Skills you'll gain
This course includes:
120 Hours PreRecorded video
Assessments in each course
Access on Mobile, Desktop, Tablet
FullTime access
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There are 4 courses in this program
Introduction to Data Engineering
Course 1 · 17 Hours to complete · 4 modules
Source Systems, Data Ingestion, and Pipelines
Course 2 · 34 Hours to complete · 4 modules
Data Modeling, Transformation, and Serving
Course 3 · 27 Hours to complete · 4 modules
Data Storage and Queries
Course 4 · 22 Hours to complete · 3 modules
Fee Structure
Payment options
Financial Aid
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