Applied Data Engineering Course

This project-based course is tailored for applicants who possess a strong background in programming and database administration and are looking to expand their knowledge and skills in the field of data engineering. The course is focused on providing trainees with the knowledge and practical experience they need to effectively design and implement ETL (Extract, Transform, Load) pipelines in Data Engineering projects. Throughout the course, trainees will learn about essential data engineering concepts, data warehousing architecture, data sourcing, metadata management, data integration, and also the advances of Generative AI and LLM (Large language Models). They will also gain hands-on experience in building ETL pipelines using popular tools such as SSIS and Talend. The course emphasizes a project-based learning approach, where students will have the opportunity to work on real-world data engineering projects, allowing them to apply the knowledge they have gained in class to real-world scenarios. Additionally, students will also have the chance to participate in data analytics hackathons, which will enable them to put their newly acquired skills to the test by solving real-world problems using data engineering techniques.