Machine Learning Operations

This 7-week, Machine Learning Operations (MLOps) Certificate course is designed for data scientists, machine learning engineers, and software developers eager to bridge the gap between machine learning models and real-world applications. Gain the essential skills needed to take machine learning from development to reliable, efficient production systems.

Designed with You in Mind

No prior MLOps experience? No problem. This course offers hands-on training in deploying, scaling, and managing AI models. Learn industry best practices, automation techniques, and real-world applications. 

• No Prior MLOps Experience Needed
  Whether you're a data scientist or engineer, this course provides a structured path to learning and applying MLOps effectively.
• Hands-On Learning
  Gain real-world experience with automation, monitoring, and model deployment through practical exercises.
• Industry-Relevant Skills
  Learn cutting-edge tools and best practices used by top companies to streamline machine learning operations.
• Bridging the Gap
  Move beyond model development and understand how to scale, manage, and optimize AI systems in production.
• Expert-Led Instruction
  Learn from Robert Clements, an MS in Data Science faculty member with extensive industry experience.
• Career-Boosting Knowledge
  Equip yourself with the essential MLOps skills that employers demand in today’s AI-driven world.

Meet Your Instructor

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Robert Clements is an assistant professor in the MS in Data Science program and the Director of the Center for AI and Data Ethics. He is interested in innovative and creative approaches to data science education and studying the societal impacts of AI and datafication.

Full Profile