PLPluralsight
Data Engineering with AWS Machine Learning
Intermediate 2.9 hours English
Our recommendation
A Pluralsight course focused on the data-engineering layer that feeds AWS machine-learning workflows — choosing storage options, comparing database services, and using warehouses and lakes as ML repositories. Practical and specific, for people building data pipelines that feed ML on AWS.
Skills you'll gain
Data engineeringAWSData lakesData warehousesML pipelinesStorage
Is this course right for you?
A good fit if you…
You build data pipelines on AWS
You feed ML workflows
You know AWS basics
Consider something else if you…
You are new to AWS
You want ML modelling itself
You do not use AWS
About this course
This course focuses specifically on the data engineering layer that feeds AWS machine learning workflows: choosing between storage options, comparing database services, using data warehouses and data lakes as ML repositories, streaming versus batch ingestion, and transforming raw data with AWS Data Pipeline, Apache Spark on EMR, or serverless AWS Glue and Athena.
What you'll learn
Choose appropriate AWS data storage options for machine learning workloads
Compare AWS database services as ML data repositories
Use data warehouses and data lakes for ML data preparation
Apply streaming and batch data ingestion approaches on AWS
Transform data using AWS Data Pipeline, Apache Spark on EMR, and serverless Glue/Athena
This course includes
2.9h
On-demand video
Yes
Mobile access
English
Language
What it costs
Access comes with a Pluralsight subscription (Standard about $29/month or $299/year; Premium about $45/month or $499/year), with a 10-day free trial.
Comparison · LBS
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Prices & availability can change — confirm on the provider's site. We're not affiliated with any single provider.
Instructor
KS
Kim Schmidt
Pluralsight instructor
Kim Schmidt is an AWS Partner and Vendor instructor with prior experience at Dun & Bradstreet, Google, Microsoft, and AWS.
About this provider
PL
Pluralsight
Tech skills platform for software developers, IT ops, and security professionals.
Frequently asked questions
No — it focuses on the data-engineering layer that feeds AWS ML workflows, not the modelling itself.
Yes — Pluralsight offers a 10-day free trial that includes the full library.
Yes — AWS fundamentals and some data-engineering context are assumed.
Storage options, database services, and using warehouses and lakes as ML repositories.
Pluralsight issues certificates of completion on its paid plans, but they are learning records rather than formal or accredited qualifications — the value is the skills.