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🏭 MLOps & LLMOps

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

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Optimize and Manage Your ML Codebase
📚 External: Coursera ↗
Self-paced
Optimize and Manage Your ML Codebase
Opens on Coursera ↗
MLOps Tools: MLflow and Hugging Face
📚 External: Coursera ↗
Self-paced
MLOps Tools: MLflow and Hugging Face
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 ↗
Chemical Engineering Thermodynamics 1
📚 External: Coursera ↗
Self-paced
Chemical Engineering Thermodynamics 1
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 ↗