This Cloud Computing and Data Engineering course provides a complete hands-on learning experience for building cloud-based data solutions. The course begins with a clear introduction to cloud computing concepts, explaining the benefits of cloud versus on-premise servers and guiding you through setting up your AWS account.

You’ll dive into AWS Redshift, understanding its architecture, and learn to create clusters, load data, and optimize your data warehouse using techniques like DIST and SORT keys. The course also covers the concept of Infrastructure as Code (IaC) and demonstrates how to build automated data pipelines using Python, providing practical skills for modern data engineering.

In the final section, the course walks through a real-world project: building a complete end-to-end data engineering pipeline for COVID-19 data. You’ll work with AWS, Python, and Jupyter notebooks to collect, process, and store data efficiently in Redshift.

By the end of this series, learners will have hands-on experience in cloud computing, AWS Redshift, data pipeline creation, and real-world data engineering projects, preparing them for cloud-focused data engineering roles.