Key Course Benefits
ML Ops LIfecycle
Monitor & Improve
Build Your Portfolio
Actively engage with AI products in production environments
Become an MLOps Leader
Supportive Professional Community
What you'll learn
Your 10-week program is designed to maximize practical and industry-relevant experience through hands-on, project-based learning. We introduce each week’s topic by first addressing the “why” of the new tools we’ll be using, from first principles. Once the underlying concepts are understood, then picking up a new tool becomes a matter of implementation and syntax.
Live sessions emphasize these principles, and include both high-level discussions and small group programming assignments. You will complete programming assignments each week during class. Select weeks will contain optional programming assignments for advanced learners who wish to dive deeper into specific topics.
You’ll also complete a group capstone project, which you will work on throughout the program. Most weeks you’ll have a capstone assignment to drive you towards completing an end-to-end MLOps project. Capstone assignments are designed to drive you to think strategically about approaching business problems with machine learning. By working with your Capstone team, you’ll not only strengthen your knowledge and showcase your technical skills, but you’ll also get some exposure to what it’s like working on a high-performing AI product team.
You're a good fit for this course if:
- You have trained machine learning models on structured data
- You have successfully debugged code outside of Jupyter notebooks
- You want to deploy, monitor, improve, and scale data-centric AI applications
- You want to build end-to-end MLOps pipelines in the cloud