Duke University
5 weeks at 10 hours a week
Learn how to apply Machine Learning Operations (MLOps) to solve real-world problems using end-to-end solutions with Artificial Intelligence (AI) pair programming.
Intermediate experience in working with Python, Git for version control, Docker for containerization and Kubernetes for deployment and scaling.
This course covers end-to-end MLOps solutions, including building operations pipelines using DevOps, DataOps, and MLOps, developing containerized microservices, and leveraging Rust for GPU-accelerated machine learning tasks.
Duke University is a world-class institution with a strong commitment to applying knowledge in service to society. The instructors, Noah Gift and Alfredo Deza, are experienced professionals who will guide you through the practical applications of MLOps.
After completing this course, you will be able to build operations pipelines, deploy machine learning models in production, and leverage advanced technologies like Rust for GPU-accelerated machine learning. This will prepare you for roles in data science, software engineering, and machine learning operations.
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