The Udacity course, Data Engineering with AWS, provides learners with a comprehensive understanding of data modeling, cloud data warehouses, Spark and data lakes, and automated data pipelines. Learners will gain hands-on experience in creating relational and NoSQL data models, using ETL to build databases in Apache Cassandra, and developing cloud-based data warehouses using Amazon Web Services (AWS). They will also learn to construct a data lake on AWS, understand the principles of data lakehouse architecture, and utilize Apache Spark for data wrangling and transformation. The course further delves into the concept of data pipelines, teaching learners how to use Apache Airflow, an open-source tool from Airbnb, to apply data pipeline concepts. This includes data validation, DAGs, AWS quality concepts, data lineage, data pipeline schedules, and data partitioning. The course concludes with learners putting data pipelines into production by extending Airflow with plugins, implementing task boundaries, and refactoring DAGs.