mlops.community
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MLOps.community is a community-driven hub for learning and practicing MLOps, curating articles, tutorials, talks, case studies, tools, and practical resources from practitioners. It also hosts discussions and events that connect you with ongoing conversations and guidance in the MLOps community.
More resources on MLOps
Chip Huyen's ML Systems Design
Free book draft on designing ML systems
MLOps.org
Principles and reading list for MLOps
Made With ML
Free MLOps tutorials and guides
MLOps.community
Community resources, podcasts, and events for MLOps practitioners
Full Stack Deep Learning
Learn MLOps best practices to build, deploy, and scale robust machine learning systems with this comprehensive Full Stack Deep Learning course.
The MLOps Podcast
A podcast that centers around the Open Source Feature Store Feast. In this series, the creator of Feast Willem Pienaar and the founder of the MLOps Community Demetrios Brinkmann join forces to interview Feast users and each other on the current state of Feast, surprises to implementing a feature store, specific Feast use cases, and Machine Learning Engineering wisdom in general. Feast has become the goto feature store for large companies such as Zulily, Gojek and Cookpad and is also the main feature store being used with the Machine Learning tooling Kubeflow.