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🏭 MLOps & LLMOps

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

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Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
Chemical Engineering Thermodynamics 1
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 1
Opens on Coursera ↗
Detect AI Anomalies: Real-Time Outliers
📚 External: Coursera ↗
Self-paced
Detect AI Anomalies: Real-Time Outliers
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 ↗
Deploying Deep Learning: Quantization, Serving, and Edge AI
📚 External: Coursera ↗
Self-paced
Deploying Deep Learning: Quantization, Serving, and Edge AI
Opens on Coursera ↗
MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
Opens on Coursera ↗