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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 in R: Deploying machine learning models using vetiver
📚 External: Coursera ↗
Self-paced
MLOps in R: Deploying machine learning models using vetiver
Opens on Coursera ↗
Machine Learning with Databricks and MLflow
📚 External: Coursera ↗
Self-paced
Machine Learning with Databricks and MLflow
Opens on Coursera ↗
Optimize and Deploy Edge AI Models
📚 External: Coursera ↗
Self-paced
Optimize and Deploy Edge AI Models
Opens on Coursera ↗
Deconstruct AI: Complex ML Problems
📚 External: Coursera ↗
Self-paced
Deconstruct AI: Complex ML Problems
Opens on Coursera ↗
Production-Ready Multimodal ML Engineering
📚 External: Coursera ↗
Self-paced
Production-Ready Multimodal ML Engineering
Opens on Coursera ↗