Build & Publish Versioned Docker Images

Overview

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.

Syllabus

Module 1: Container Fundamentals & Multi-stage Dockerfiles

Learners will master containerization fundamentals and create production-ready multi-stage Dockerfiles for data processing environments.

Module 2: Container Fundamentals & Multi-stage Dockerfiles

Learners will implement systematic version tagging strategies and integrate with enterprise container registries for Learners will master containerization fundamentals and create production-ready multi-stage Dockerfiles for data processing environments.