MLOps | Machine Learning Operations

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.

MLOps | Machine Learning Operations is a non-degree program at Duke University, taught in English, that helps you acquire critical skills in machine learning operations. This program is for individuals with programming knowledge and lasts several weeks.

The curriculum covers topics such as Python, Rust, GitHub Copilot, Amazon SageMaker, and MLflow, and includes hands-on experience with fine-tuning Large Language Models and deploying binary embedded models. You'll learn to use platforms like Azure ML and develop skills in data science, machine learning engineering, and cloud ML solutions architecture.

By taking this program, you can pursue careers such as Data Scientist, Machine Learning Engineer, Cloud ML Solutions Architect, or Artificial Intelligence Product Manager. You'll be able to analyze complex data sets, develop and deploy ML models, and drive data-driven decision making, which are valuable skills in many industries, including technology, finance, and healthcare.