Using Docker on AWS
AWS dominates cloud infrastructure, but containerisation is where modern deployments actually happen. This course bridges that gap, showing you how Docker transforms application delivery on AWS—cutting deployment time and eliminating ‘works on my machine’ disasters in one move.
AIU.ac Verdict: Ideal for DevOps engineers, backend developers, and cloud architects who need hands-on Docker-to-AWS fluency without the 8-hour deep dive. The 65-minute format is tight; you’ll need prior AWS familiarity to extract maximum value.
What This Course Covers
You’ll work through Docker fundamentals—images, containers, registries—then immediately apply them within AWS’s ecosystem. Expect practical coverage of Amazon ECR (Elastic Container Registry), container networking, and how Docker integrates with EC2 and ECS. The course emphasises real deployment patterns rather than theory.
David Clinton structures this for immediate application: you’ll containerise a sample application, push it to AWS, and understand the operational considerations (logging, security, scaling) that separate hobby projects from production systems. Hands-on labs in Pluralsight’s sandbox environment mean you’re not just watching—you’re building.
Who Is This Course For?
Ideal for:
- Backend developers moving to cloud: You’ve built applications locally; now learn how Docker and AWS actually ship them to production without reinventing deployment pipelines.
- DevOps engineers new to containerisation: You manage AWS infrastructure but haven’t yet adopted containers. This course closes that gap in under 90 minutes with practical, AWS-native approaches.
- Solutions architects evaluating container strategies: You need to advise teams on Docker adoption on AWS. This course gives you hands-on credibility and understanding of the trade-offs.
May not suit:
- Complete AWS beginners: The course assumes you’re comfortable with EC2, IAM, and basic AWS navigation. Start with AWS fundamentals first.
- Kubernetes-focused learners: This covers Docker and AWS-native services (ECS, ECR). If you’re committed to Kubernetes, seek EKS-specific training instead.
Frequently Asked Questions
How long does Using Docker on AWS take?
1 hour 5 minutes of video content. With hands-on labs in Pluralsight’s sandbox, plan 90 minutes total for active learning.
Do I need AWS experience before starting?
Yes. You should be comfortable with EC2, security groups, and IAM basics. This course assumes you know AWS; it teaches Docker on AWS, not AWS itself.
Will I get hands-on practice?
Absolutely. Pluralsight includes interactive labs and sandboxes where you containerise applications and deploy them to AWS environments—not just watch demonstrations.
Is this course suitable for production readiness?
It covers production fundamentals: security, logging, and scaling considerations. However, it’s an introduction, not a deep operational guide. Use it as your foundation, then specialise based on your architecture.
Course by David Clinton on Pluralsight. Duration: 1h 5m. Last verified by AIU.ac: March 2026.
