Current
Intermediate
40% Off
MLOps | Machine Learning Operations (Duke University)
Coursera · Duke University · Updated March 2026
Platform rating
4.4/5
AI Tutor Rating
8.2/10
Duration
3-6 months
Classes
150
Learn MLOps from Duke University. Cover model deployment, cloud platforms (AWS, Azure), containerization, and responsible AI.
What you'll get
Deploy models on AWS SageMaker and Azure
Track experiments and manage model versions
Build containerized ML deployments
Fit
Best for
Software Engineers
DevOps/MLOps Engineers
Data Engineers
Platform Engineers
Not ideal for
Learners seeking only entry-level overviews
Prerequisites & pricing
Prerequisites
Python, basic ML
Pricing
Subscription
Certification
Certificate
Growth Leverage: Completing the MLOps course from Duke University positions you for career growth into roles like MLOps Engineer, Machine Learning Engineer, or DevOps Engineer, with potential certifications in AWS and Azure. This validates your expertise in deploying and managing machine learning models on cloud platforms.
Skills Value: The skills gained enable you to deploy and manage ML models effectively, addressing critical organizational needs for scalable AI solutions, which are in high demand; MLOps professionals can command salaries up to 30% higher than regular data scientists, reflecting their specialized abilities.
MLOps
AWS SageMaker
Azure
Docker
Hugging Face