4 Best + Free AWS Data Engineer Associate Certification Courses

Learn to master the art of cloud data management with our list of AWS Data Engineer Certification Courses.

Key Takeaways

• Develop skills in data collection, storage, processing, and analysis using AWS.
• Get access to the latest material to prepare for the AWS Data Engineer Associate Exam.
• Suited best for IT professionals and data specialists.

What do AWS Data Engineer courses offer?

These courses prepare learners for the certification exam and equip them with advanced skills in managing and analyzing data using AWS technologies that are crucial for careers in cloud data management.

AWS Data Engineer Associate Certification Courses Evaluation & Selection Criteria….

Each course has been chosen for its alignment with AWS certification standards. Priority was given to courses that were taught by certified AWS instructors, offered detailed exam preparation materials and high ratings.

Best + Free AWS Data Engineer Associate Certification Courses

Data Engineering Foundations

• • • Harshit Tyagi via LinkedIn Learning
    • 83,486+ already enrolled!
    • ★★★★★ (2,796 Ratings)

In this course, you will understand how data engineers make sure the data flow is running smoothly. You will learn to monitor systems, anticipate problems, and repair the data pipeline whenever problems arise.

• The best thing about this course is its focus on explaining how to extract and gather data from multiple resources and load it into a single, easy-to-query database. You will also understand the several data engineering tools like Hive, Hadoop, Spark, and Airflow.
• This course is for those who wish to understand the fundamentals of data engineering and why data engineers are considered to be one of the most valuable people in a data-driven organization.

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AWS Certified Data Engineer Associate – Hands On!

• • • Sundog Education+2 via Udemy
    • 8,508+ already enrolled!
    • ★★★★★ (505 Ratings)

In this course, you will be taught how to maximize your odds of passing the AWS Certified Data Engineer Associate (DEA-C01) exam. Here you will learn to design and implement data pipelines with AWS to ingest, store, and transform data.

• The reason why we chose this course is its focus on explaining how to choose and design data stores, data models, data schemas, and data lifecycles. You will learn to maintain, operationalize, and orchestrate data pipelines with EventBridge, Airflow, AWS step functions, and so much more.
• This course is for those who wish to understand how to create data lakes using S3, Glue, Redshift, and process batch and streaming data with Kinesis, EMR, containers, and more.

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Continue with more Free AWS Data Engineer Associate Certification Courses…

Data Engineering in AWS

• • • Whiz Labs via Coursera
    • 5 Hours of effort Required!
    • Course Type (Instructor-led)

In this beginner-level course, you will be taught how to analyze the different data gathering techniques. Here you will learn to handle missing data by apply many techniques.

• The reason why we chose this course is its focus on explaining how to implement feature extraction and feature selection with Principal Component Analysis and Variance Thresholds.
• This course is for those who wish to explore and learn how to implement the feature extraction and feature selection with Principal Component Analysis and Variance Thresholds.

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Data Engineering with AWS

• • • Dipali Kulshrestha via LinkedIn Learning
    • 10,226+ already enrolled!
    • ★★★★★ (290 Ratings)

In this intermediate-level course, you will learn to create and configure an Amazon S3 bucket for storing data and triggering notifications to perform actions securely.

• The best thing about this course is its focus on exploring data types, data lakes, data sources, and explaining how to use built-in AWS components such as DynamoDB, Kinesis, and S3 for storing and managing streams.
• This course is for those who wish to understand how to leverage full power of an end-to-end data engineering pipeline from selecting and configuring ingestion patterns.

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