Database Engineering Course
Master database engineering on AWS with this course, focusing on event-driven design, streaming pipelines, analytical storage, security, and performance tuning for scalable, production-ready systems.

4 to 360 hours flexible workload
valid certificate in your country
What will I learn?
This Database Engineering Course shows you how to design event-driven schemas, separate OLTP from analytics, and structure JSON payloads for scale. You will choose the right AWS managed services, build high-throughput streaming pipelines, and implement caching for near real-time dashboards. Learn to secure data, control costs, tune performance, and operate reliable, production-grade analytical platforms end to end.
Elevify advantages
Develop skills
- Design scalable event schemas: model JSON payloads and multi-tenant entities fast.
- Build streaming data pipelines: Kinesis/MSK ingestion, CDC, and real-time views.
- Optimize analytical storage: S3 lakehouse, partitioning, and columnar schemas.
- Secure and harden data stacks: IAM, encryption, DR, and high-availability patterns.
- Monitor and tune performance: observability, autoscaling, and query optimization.
Suggested summary
Before starting, you can change the chapters and the workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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