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🏭 MLOps & LLMOps

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

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Inside Azure Machine Learning Workspace
MLOps & LLMOps ⚡ AI Lesson
Inside Azure Machine Learning Workspace
Coursera Beginner 4mo ago
📚 Continue on Coursera External links · Free to audit
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Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to 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 ↗
ML Model Development and Tracking: Hands-on Guide
📚 External: Coursera ↗
Self-paced
ML Model Development and Tracking: Hands-on Guide
Opens on Coursera ↗
Azure ML: Deploying, Managing, and Experimenting with Models
📚 External: Coursera ↗
Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗