Build & Publish Versioned Docker Images

Transform your data engineering workflows with enterprise-grade containerization skills that eliminate "works on my machine" problems forever. This Short Course empowers data engineers to master the critical containerization pipeline from development to production deployment. By completing this course, you'll confidently create robust Dockerfiles that package complex data processing environments, systematically version and tag container images for release management, and seamlessly integrate with cloud-native deployment pipelines. You'll discover how to eliminate environment inconsistencies, accelerate team collaboration, and establish the foundation for scalable, reproducible data infrastructure. By the end of this course, you will be able to: - Apply containerization to build and publish versioned images with runtime dependencies This course is unique because it bridges the gap between development containerization and production-ready deployment, focusing specifically on data engineering use cases with hands-on experience using industry-standard tools like Amazon ECR and Kubernetes. To be successful in this course, you should have basic familiarity with command-line interfaces, understanding of software dependencies, and exposure to data processing concepts

• Create portable data processing environments across development, testing, and production using containerization
• Apply systematic versioning and tagging strategies to maintain reliable deployment pipelines
• Integrate container registries with orchestration platforms for cloud-native infrastructure
• Establish reproducible containerized environments to support collaboration and DevOps

• No deep prior experience required; basic computer and internet skills helpful
• Ability to read English instructions and complete short practice activities