MLOps Workshop “Building an MLOps Stack from Scratch on AWS”
Join us for an insightful one-hour webinar where we’ll explore the critical components of an MLOps platform, from the experimentation phase to the production phase of the ML lifecycle. This session is designed to dive deep into the foundational elements that make up an effective MLOps infrastructure, ensuring your machine learning projects transition smoothly from the drawing board to production-grade applications.
What we’ll cover:
- The Phases of the ML Lifecycle from Experimentation to Production
- Strategies for Streamlining the ML Lifecycle with MLOps
- The Building Blocks of an MLOps Platform, including feature stores and experiment trackers
Participants will also have the opportunity to engage in a Q&A session.
What is Featureform:
Featureform is a virtual feature store that enables data scientists to define, manage, and serve their ML model’s features. It sits atop existing infrastructure, transforming it into a traditional feature store. Using Featureform, data science teams can enhance collaboration, organize experimentation, facilitate deployment, increase reliability, and ensure compliance. It allows standardized definitions of transformations, features, labels, and training sets, making them easily shareable and understandable across teams. Additionally, Featureform is designed to work with individual data scientists and large enterprise teams, providing a centralized repository for machine learning resources.
Time: 10:00-11:00 am EST
Free!
