AWS Data Engineering Foundations: Build Modern Data Pipelines

In today's data-driven world, organizations rely on robust pipelines to transform raw data into actionable insights. This course introduces you to the essential principles of data engineering and shows you how to implement them on the AWS cloud platform. You will transition from a beginner to a confident practitioner capable of designing, securing, and automating basic data workflows. By reading through detailed architectural breakdowns and studying practical configuration examples, you will understand how to orchestrate data movement, manage storage, and optimize costs effectively. What you'll learn: - Understand the foundational role of a data engineer and the core terminology of data pipelines. - Configure secure cloud storage and data lake environments using AWS S3 and IAM. - Design serverless data transformation and cataloging workflows with AWS Glue and Athena. - Apply Infrastructure as Code (IaC) principles to deploy reproducible data resources. - Implement monitoring, logging, and cost-optimization strategies for cloud data pipelines. - Explore modern CI/CD patterns to automate data workflow deployments safely. The course begins with essential terminology, architectural definitions, and foundational cloud concepts before moving into step-by-step written guides for building and securing pipelines. You will progress from manual data discovery to fully automated, code-driven infrastructure deployments. This course is designed for absolute beginners to data engineering and cloud computing, requiring no prior experience with AWS or database administration. Start reading today to build a strong foundation in modern cloud data engineering.