Supercharge your data engineering career by gaining hands-on experience with AWS databases and computing services! In this comprehensive course, you'll learn how to use AWS products like DynamoDB, RDS, Lambda, EC2, and more to build scalable, high-performance data solutions.



AWS Databases & Compute for Data Engineers
This course is part of AWS Certified Data Engineer Associate Specialization

Instructor: LearnKartS
Access provided by J.N.N Institute of Engineering
Recommended experience
What you'll learn
Build and manage AWS DynamoDB and RDS databases
Automate tasks with AWS Lambda and EC2 for data engineering workflows
Explore Docker, ECS, and EKS for containerized applications
Master data migration and synchronization with AWS DMS and DataSync
Skills you'll gain
- Database Management
- Docker (Software)
- Kubernetes
- Amazon Elastic Compute Cloud
- Scalability
- Cloud Engineering
- Operational Databases
- Containerization
- Data Infrastructure
- Cloud Security
- Amazon S3
- AWS Identity and Access Management (IAM)
- Performance Tuning
- Amazon Web Services
- NoSQL
- Data Migration
- Databases
- Serverless Computing
- Amazon DynamoDB
Details to know

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10 assignments
September 2025
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There are 2 modules in this course
Explore key AWS database services like DynamoDB, RDS, and DocumentDB, learning to work with APIs, indexes, and securing data. Gain hands-on experience with DynamoDB Accelerator (DAX) and learn best practices for scaling and securing databases.
What's included
15 videos4 readings4 assignments
Master AWS compute services like EC2 and Lambda, and dive into containerization with Docker, ECS, and EKS. Learn how to migrate data seamlessly with AWS DMS, Data Sync, and explore edge computing with AWS Snow Family and Transfer Family.
What's included
20 videos4 readings6 assignments
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