Integrating Docker with DevOps Automated Workflows
Container orchestration is now table stakes for deployment velocity—and Docker remains the industry standard. This course bridges the gap between containerisation and automated DevOps pipelines, showing you exactly how to eliminate manual handoffs and accelerate release cycles. You’ll move beyond basic Docker knowledge into production-grade workflow integration.
AIU.ac Verdict: Essential for DevOps engineers and platform teams scaling containerised infrastructure. The 62-minute format is tight—expect focused, practical content rather than exhaustive theory. Best suited to those with foundational Docker experience seeking workflow automation patterns.
What This Course Covers
The course covers Docker’s role within modern CI/CD pipelines, including image building automation, registry integration, and container deployment orchestration. You’ll explore how Docker fits into Infrastructure-as-Code practices, examining real-world scenarios where containerisation accelerates feedback loops and reduces deployment friction. Nigel Poulton—a recognised Docker authority—walks through practical configurations and common integration patterns.
Expect hands-on labs covering automated image builds, container registry workflows, and pipeline-triggered deployments. The course emphasises production considerations: security scanning, image versioning, and rollback strategies within automated environments. You’ll gain actionable patterns applicable to Kubernetes, Docker Swarm, and cloud-native platforms.
Who Is This Course For?
Ideal for:
- DevOps Engineers: Seeking to deepen Docker integration within CI/CD pipelines and reduce manual deployment steps.
- Platform Engineers: Building containerised infrastructure and needing to automate image management and deployment workflows.
- Cloud Architects: Designing scalable deployment strategies and requiring Docker automation best practices for team enablement.
May not suit:
- Docker Beginners: This assumes solid foundational Docker knowledge; start with Docker fundamentals first.
- Non-Technical Stakeholders: The course is hands-on and technical—not suited to those seeking conceptual overviews only.
Frequently Asked Questions
How long does Integrating Docker with DevOps Automated Workflows take?
1 hour 2 minutes of video content. Plan 2–3 hours total including hands-on labs and sandbox exercises.
What Docker experience do I need before starting?
Intermediate Docker knowledge is assumed. You should be comfortable with Dockerfiles, image building, and basic container operations.
Will this course cover Kubernetes?
The focus is Docker integration within DevOps workflows. Kubernetes is mentioned contextually but isn’t the primary subject—consider Pluralsight’s dedicated Kubernetes courses for deeper coverage.
Can I access hands-on labs?
Yes. Pluralsight includes sandboxed lab environments where you can practise Docker automation patterns without local setup.
Course by Nigel Poulton on Pluralsight. Duration: 1h 2m. Last verified by AIU.ac: March 2026.
