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🏭 MLOps & LLMOps

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

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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 ↗
ML Model Development and Tracking: Hands-on Guide
📚 External: Coursera ↗
Self-paced
ML Model Development and Tracking: Hands-on Guide
Opens on Coursera ↗
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗
Detect AI Anomalies: Real-Time Outliers
📚 External: Coursera ↗
Self-paced
Detect AI Anomalies: Real-Time Outliers
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 ↗