This project is an open-source educational curriculum designed to provide comprehensive training in data engineering. It focuses on building scalable data pipelines and managing cloud-native infrastructure through a structured, self-paced program that combines technical explanations with hands-on practical exercises.
The curriculum distinguishes itself by emphasizing industry-standard methodologies, specifically teaching students how to implement infrastructure as code and manage data workflows through orchestration tools. By utilizing container-based environment isolation and declarative configuration, the program ensures that learners gain experience with reproducible deployments and consistent development environments across distributed systems.
The training covers a broad range of technical topics, including the design of automated data processing tasks and the configuration of cloud resources. The materials are organized into modular, progressive units that build foundational knowledge before advancing to complex engineering workflows.
The course materials are hosted in a centralized repository, which facilitates community-supported updates and collaborative improvements to the educational assets.
