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🏭 MLOps & LLMOps

Model deployment, experiment tracking, monitoring, inference optimisation and AI pipelines

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Chemical Engineering Thermodynamics 2
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 2
Opens on Coursera ↗
MLOps in R: Deploying machine learning models using vetiver
📚 External: Coursera ↗
Self-paced
MLOps in R: Deploying machine learning models using vetiver
Opens on Coursera ↗
Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
Databricks Machine Learning Quickstart
📚 External: Coursera ↗
Self-paced
Databricks Machine Learning Quickstart
Opens on Coursera ↗
Optimizing Models for Production
📚 External: Coursera ↗
Self-paced
Optimizing Models for Production
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Français
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Français
Opens on Coursera ↗