3
Module 3
MLOps & Deployment
Deploy ML models reliably with modern MLOps practices
📚3 Lessons
💻View on GitHubLessons
1
Model Serving Architectures
75 minDeploy models with FastAPI, TorchServe, and cloud platforms
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2
CI/CD for ML Systems
65 minAutomate testing and deployment of ML models with GitHub Actions
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3
Feature Stores & Model Registry
55 minManage features and model versions at scale with MLflow and Feast
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