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🏭 MLOps & LLMOps

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

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Azure ML: Deploying, Managing, and Experimenting with Models
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Self-paced
Azure ML: Deploying, Managing, and Experimenting with Models
Opens on Coursera ↗
Partition & Monitor AI Models Effectively
📚 External: Coursera ↗
Self-paced
Partition & Monitor AI Models Effectively
Opens on Coursera ↗
AI Orchestration: From local models to cloud
📚 External: Coursera ↗
Self-paced
AI Orchestration: From local models to cloud
Opens on Coursera ↗
MLOps with Vertex AI: Manage Features - Español
📚 External: Coursera ↗
Self-paced
MLOps with Vertex AI: Manage Features - Español
Opens on Coursera ↗
Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to Production
Opens on Coursera ↗
Optimize AI Inference Speed & Accuracy
📚 External: Coursera ↗
Self-paced
Optimize AI Inference Speed & Accuracy
Opens on Coursera ↗