MLOps Resources
Curated collection of tools, books, courses, and materials to accelerate your MLOps journey
Essential MLOps Tools
Kubeflow
End-to-end ML platform for Kubernetes
PlatformMLflow
Open source platform for ML lifecycle
Experiment TrackingDVC
Data version control for ML projects
Data VersioningGreat Expectations
Data validation and documentation
Data QualityEvidently AI
ML monitoring and testing
MonitoringFeast
Open source feature store
Feature StoreRecommended Books
Designing Machine Learning Systems
by Chip Huyen
Comprehensive guide to ML system design
Machine Learning Engineering
by Andriy Burkov
Practical approach to ML in production
Building Machine Learning Powered Applications
by Emmanuel Ameisen
From idea to production deployment
Online Courses
MLOps Specialization
Coursera
Complete MLOps workflow and best practices
Full Stack Deep Learning
FSDL
Building and deploying ML applications
Made With ML
Goku Mohandas
Hands-on MLOps with modern tools
More Resources
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