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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
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Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
AI/ML & Advanced AWS Services
📚 External: Coursera ↗
Self-paced
AI/ML & Advanced AWS Services
Opens on Coursera ↗
Optimize AI: Plan, Evaluate, and Learn
📚 External: Coursera ↗
Self-paced
Optimize AI: Plan, Evaluate, and Learn
Opens on Coursera ↗
Production ML with Hugging Face
📚 External: Coursera ↗
Self-paced
Production ML with Hugging Face
Opens on Coursera ↗
Deploy ML Models to Production
📚 External: Coursera ↗
Self-paced
Deploy ML Models to Production
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 ↗