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AI: DevOps, DataOps, MLOps

Streamline AI Operations: Leverage DevOps, DataOps, and MLOps for End-to-End Machine Learning Solutions.

DevOps, DataOps, MLOps
4 weeks
3–6 hours per week
Self-paced
Progress at your own speed
Free
Optional upgrade available

There is one session available:

After a course session ends, it will be archivedOpens in a new tab.
Starts May 17

About this course

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Apply Real-World Machine Learning with DevOps, DataOps & MLOps

  • Master end-to-end MLOps solutions through hands-on AI pair programming
  • Leverage cutting-edge tools like GitHub Copilot, Gradio & Hugging Face
  • Build containerized ML apps deployable across cloud platforms

Course Journey:

  • Explore MLOps landscape and pre-trained models to solve business problems
  • Apply ML/AI in practice through optimization, simulation & heuristics
  • Develop integrated DevOps, DataOps & MLOps pipelines on GitHub
  • Package ML solutions in containers for seamless cloud deployment
  • Transition to Rust for high-performance GPU-accelerated ML tasks

Ideal for data scientists, software engineers, analysts & professionals working with machine learning. Gain holistic MLOps skills through real-world projects.

At a glance

What you'll learn

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  • Use web frameworks like Gradio & Hugging Face for interactive ML
  • Build command-line tools for ML/AI applications with Click
  • Leverage Rust's performance for Kubernetes, Docker & Serverless use cases
  • Containerize and deploy ML pipelines across cloud environments

Who can take this course?

Unfortunately, learners residing in one or more of the following countries or regions will not be able to register for this course: Iran, Cuba and the Crimea region of Ukraine. While edX has sought licenses from the U.S. Office of Foreign Assets Control (OFAC) to offer our courses to learners in these countries and regions, the licenses we have received are not broad enough to allow us to offer this course in all locations. edX truly regrets that U.S. sanctions prevent us from offering all of our courses to everyone, no matter where they live.

This course is part of Machine Learning Operations Professional Certificate Program

Learn more 
Expert instruction
4 skill-building courses
Self-paced
Progress at your own speed
4 months
3 - 6 hours per week

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