Cloud Data Engineering

Duke University, located in Durham, United States, is a historic institution founded in 1838. As an international student, you'll find many advantages to studying here, including access to a diverse community of 3584 international students, a broad academic offering, and a unique blend of tradition and innovation. Specifically, you'll benefit from the university's strong research focus and its location in the heart of North Carolina's Research Triangle.

Duke University offers 213 programs, with many focusing on engineering, business, and medicine. The university is particularly renowned for its departments of engineering and environmental sciences, which provide opportunities for you to engage in cutting-edge research. English is the primary language of instruction, but you'll also have the chance to learn other languages, such as Spanish, Chinese, and Arabic, through the university's language programs.

As a student, you'll have access to modern facilities, including libraries, labs, and recreational centers. The campus is situated in a charming city with a rich cultural scene, offering many opportunities for you to explore and engage with the local community. For instance, you can visit the nearby Durham Performing Arts Center or take part in the city's annual festivals, which celebrate music, food, and art. With many student clubs and organizations available, you'll find plenty of ways to get involved and make the most of your time at Duke University.

The Cloud Data Engineering program at Duke University is a non-degree course for beginners and intermediate students. It lasts several weeks and helps students develop data engineering applications using cloud computing concepts. Students learn to apply data engineering to real-world projects and use software development best practices.

The curriculum covers data engineering applications, continuous deployment, code quality tools, logging, instrumentation, and monitoring. Students also learn to use cloud-native technologies to tackle complex data engineering solutions. The course requires beginner-level Linux and intermediate-level Python skills. Students build a serverless data engineering pipeline in a cloud platform like Amazon Web Services, Azure, or Google Cloud Platform.

After completing the program, students can pursue careers as Data Engineers, Cloud Architects, Software Developers, Data Scientists, or DevOps Engineers. They can work in various industries, including technology, finance, and healthcare, and for top employers like Amazon, Microsoft, or Google.