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🏭 MLOps & LLMOps

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

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AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Español
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Español
Opens on Coursera ↗
MLOps and LLMOps: Deploying and Scaling AI in Production
📚 External: Coursera ↗
Self-paced
MLOps and LLMOps: Deploying and Scaling AI in Production
Opens on Coursera ↗
Model Serving Systems: Containers, APIs & Scalability
📚 External: Coursera ↗
Self-paced
Model Serving Systems: Containers, APIs & Scalability
Opens on Coursera ↗
Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗